PODCAST · technology
CERIAS Weekly Security Seminar - Purdue University
by CERIAS <[email protected]>
CERIAS -- the Nation's top-ranked interdisciplinary academic education and research institute -- hosts a weekly cyber security, privacy, resiliency or autonomy speaker, highlighting technical discovery, a case studies or exploring cyber operational approaches; they are not product demonstrations, service sales pitches, or company recruitment presentations. Join us weekly...or explore 25 years of archives for the who's-who in cybersecurity.
Episodes
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Eugene Spafford, AI: Cybersecurity Panacea or Existential Threat?
Twenty years ago, the first post on the CERIAS blog took apart the rule that passwords must be changed every month. NIST retired the practice in 2017; some standards still require it. That is how a security myth works: a plausible claim, repeated in enough checklists, becomes infrastructure, and...
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Krassimir Tzvetanov, Trading Privacy for Convenience: Leading through example in a Hyper-Connected Era
In contemporary digital environments, individuals increasingly exchange personal privacy for the convenience afforded by online services, often without full awareness of the breadth or implications of this trade-off. This study examines this phenomenon through a comparative analysis of the data...
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Jingjie Li, Advancing Online Safety Governance for Digital Platforms and Communities
Internet users increasingly interact through emerging digital platforms and communities, which create complex online safety, security and privacy challenges that aredifficult to navigate. This talk will present insights from our research to understand the rising online safety landscape and…
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Mahimna Kelkar, Rethinking Cryptography and Blockchain Attacker Models
In the past few years, blockchains have emerged as a new class of decentralized systems with wide-ranging applications. But the promise of blockchains has been marred by hype, speculation, and a plethora of high-profile attacks.The purpose of this talk is to demonstrate, through examples from my...
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Romila Pradhan, Reasoning About Interventions in Data and Machine Learning Systems
Modern machine learning systems are only as reliable as the data and pipelines that support them, yet improving their behavior often requires navigating enormous spaces of possible data and system configurations. These systems are complex enough that improving them by changing everything at once…
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Armin Moin, TianoShield: Improving the Security Posture of the TianoCore Ecosystem
In this talk, I will provide an overview of our NSF-sponsored award, TianoShield, focused on enhancing the security posture and the software maintenance process of the open-source core of the UEFI Firmware, called EDK II, and maintained by the TianoCore community. The talk will highlight our...
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Matt Scheurer, Lies, Telephony, and Hacking History
You may find yourself attending a CERIAS Security Seminar, and you may ask yourself "Well, how did we get here?" Once upon a time, not long ago, there was no cybersecurity industry or careers. This talk transports attendees on a retrospective journey through time to highlight the advancements…
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Pragathi Jha, Modeling Cyber Adversaries: A Critical Survey of Methods and Assumptions
Cybersecurity practitioners face a persistent methodological problem: how should we reason about intelligent adversaries who observe our defenses, adapt their tactics, and choose targets based on our vulnerabilities? The field has responded with a fragmented toolkit. Quantitative risk assessment...
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Smriti Bhatt, Evolving Security Landscape in the Agentic AI-Enabled IoT Era
The rapid evolution of connected devices and technologies has transformed the Internet of Things (IoT) into increasingly intelligent and autonomous systems. This talk focuses on the progression from traditional IoT to the Artificial Intelligence of Things (AIoT), and further toward Agent-Based…
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Gary Hayslip, The AI Arms Race
Ransomware has evolved from basic digital extortion into a sophisticated, AI-powered threat that's faster,smarter, and more devastating than ever before. In this session, we'll explore how threat actors are weaponizing artificial intelligence to supercharge their operations—from automated...
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Brian Peretti, Symposium Closing Keynote: AI, Cybersecurity, and the Path Forward
Annual Security Symposium. Visit: https://ceri.as/2026 Artificial intelligence is rapidly transforming both the opportunities and risks within cybersecurity, creating a new landscape that today's students and researchers will soon inherit and shape. This keynote explores how AI is evolving from a...
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Jen Sims, Analyzing Supply Chain Risk in Mobile Applications for Home Energy Storage Systems
The rapid adoption of mobile applications for managing consumer whole-house battery and energy systems has introduced new questions about software supply chain security. While these applications are not currently integrated with critical infrastructure, their growing role in connected energy...
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Kelechi Kalu, Software Signing in Practice: Lessons from Adoption and Usability Toward Broader Supply Chain Trust
Software signing is a foundational mechanism for improving software supply-chain security because it helps establish artifact provenance, integrity, and authenticity across organizational boundaries. Yet the security value of software signing depends not only on cryptographic design, but also on...
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Ruqi Zhang, Discovering and Controlling AI Safety Risks in Foundation Models: A Probabilistic Perspective
As foundation models, including large language models and multimodal models, are increasingly deployed in complex and high-stakes settings, ensuring their safety has become more important than ever. In this talk, I present a probabilistic perspective on AI safety: safety risks are treated as...
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Danny Vukobratovich, ISO 27001 as the Engine, NIST CSF 2.0 as the Dashboard, A Practical Operating Model
Many organizations adopt security frameworks but struggle to turn them into day-to-day operations that reduce risk without slowing delivery. This talk presents a practical operating model that pairs ISO/IEC 27001 (as the certifiable management system that runs governance, risk management…
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Thai Le, Towards Robust and Trustworthy AI Speech Models: What You Read Isn't What You Hear
Deepfake voice technology is rapidly advancing, but how well do current detection systems handle differences in language and writing style? Most existing work focuses on robustness to acoustic variations such as background noise or compression, while largely overlooking how linguistic variation...
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Bethanie Williams, AI-Assisted Cyber-Physical Attack Detection in Smart Manufacturing Systems
The rise of Industry 4.0 has transformed manufacturing through the integration of cyber-physical systems, connectivity, and real-time data exchange into increasingly automated and intelligent platforms. While these advances improve productivity and efficiency, they also introduce vulnerabilities…
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Mary Jean Amon, Parental Sharing ("Sharenting") Through the Lens of Interdependent Privacy
Parental sharing, sometimes termed "sharenting," refers to ways that parents share information about their children online and is a common mechanism through which young children are exposed to social media. Parental sharing is controversial due to its significant benefits and risks, with...
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Young Kim, Counterfeit Medical Devices and Medicines as a Fundamental Cyber-Physical Security Problem
Hardware security is not a new problem, but it is rapidly expanding in both consumer and medical domains due to hyperconnectivity. Medical devices and counterfeit medicines represent a fundamental security challenge. In particular, although counterfeit medicines are not a new issue,the problem...
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Vijayanth Tummala, Evaluating The Impact of Cyberattacks On AI-based Machine Vision Systems: A Case Study of Threaded Fasteners
AI-driven machine vision systems are becoming essential in mechanical engineering applications such as fastener classification, yet their increasing connectivity exposes them to adversarial cyberattacks. Model evasion attacks like FGSM can subtly alter input images and cause misclassification,...
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Rohan Paleja, Building Interpretability into Human-Aware Robots through Neural Tree-Based Models
Collaborative robots and machine-learning-based virtual agents are increasingly entering the human workspace with the aim of increasing productivity, enhancing safety, and improving the quality of our lives. These agents will dynamically interact with a wide variety of people in dynamic and novel...
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Peter Ukhanov, From MOVEit to EBS – a Look at Mass Exploitation Extortion Campaigns
Over the past several years, CL0P has executed multiple mass exploitation campaigns using zero-day vulnerabilities in popular software products that resulted in mass data exfiltration. In this talk we'll take a look at the vulnerabilities that enabled their access, discuss ways defenders could…
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Antonio Bianchi, Attacking and Defending Modern Software with LLMs
In this talk, I will discuss recent research projects at the intersection of software security and automated reasoning. Specifically, I will present our work on assessing the exploitability of the Android kernel and developing complex exploits for it, as well as our efforts to uncover bugs in...
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Stephen Flowerday, The Hidden Laundromat at Play: how illicit value moves through online games
Online video games have evolved into vast financial ecosystems where real and virtual value mix at scale. This presentation shows how these spaces serve as efficient laundering channels, converting illicit funds from organized crime, sanctions evasion, terrorist financing, and digital fraud into...
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Abulhair Saparov, Can/Will LLMs Learn to Reason?
Reasoning—the process of drawing conclusions from prior knowledge—is a hallmark of intelligence. Large language models, and more recently, large reasoning models have demonstrated impressive results on many reasoning-intensive benchmarks. Careful studies over the past few years have revealed that...
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Hanshen Xiao, When is Automatic Privacy Proof Possible for Black-Box Processing?
Can we automatically and provably quantify and control the information leakage from a black-box processing? From a statistical inference standpoint, in this talk, I will start from a unified framework to summarize existing privacy definitions based on input-independent indistinguishability and...
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Marcus Botacin, Malware Detection under Concept Drift: Science and Engineering
The current largest challenge in ML-based malware detection is maintaining high detection rates while samples evolve, causing classifiers to drift. What is the best way to solve this problem? In this talk, Dr. Botacin presents two views on the problem: the scientific and the engineering. In the...
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Rajiv Khanna, The Shape of Trust: Structure, Stability, and the Science of Unlearning
Trust in modern AI systems hinges on understanding how they learn—and, increasingly, how they can forget. This talk develops a geometric view of trustworthiness that unifies structure-aware optimization, stability analysis, and the emerging science of unlearning. I will begin by revisiting the…
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Matthew Sharp, Securing Linux in a Heterogenous Enterprise Environment
This seminar examines the challenges of securing Linux (and legacy UNIX) systems in heterogenous enterprise environments, where cohabitant Windows infrastructure often dictates corporate security focus, resources, and tooling. Drawing on experiences across academia, large industry, and more...
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Stephen Kines, Four Deadly Sins of Cyber: Sloth, Gluttony, Greed & Pride
In the UK one of the great global car brands is on the verge of bankruptcy this month due to a single cyber-attack with the consequence of a potential loss of 130,000 jobs. Jaguar Land Rover is seeking a government bail-out to survive. In this first of a series of seminars delivered from the...
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Sanket Naik, AI Agents for DevSecOps
AI is enabling developers and non-developers (product managers, solutions engineers) to write more lines of code than even before. Businesses are under pressure to ship these AI built products to stay competitive while still meeting regulatory requirements. Can AI solve this problem? In this…
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Richard Thieme, Thinking Like a Hacker in the Age of AI
We need to understand AI, what's here and what's coming, at a deep and ever-deepening level. This is a genuine inflection point for our society. It's like the internet squared except the rate of adoption is much higher. We don't have decades to figure this out. ... This is not a technical talk.…
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Rolf Oppliger, E2EE Messaging: State of the Art and Future Challenges
End-to-end encrypted (E2EE) messaging on the Internet allows encrypted messages to be sent from one sender to one or multiple recipients in a way that cannot be decrypted by anybody else - arguably not even the messaging service provider itself. The protocol of choice is Signal that invokes and...
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Kris Lovejoy, The Converged Threat Landscape: What's Next in Cybersecurity
Cybersecurity stands at a historic inflection point, where converged forces are reshaping how we think about digital defense. In this discussion, Kyndryl's Global Security & Resiliency Leader Kris Lovejoy will share five key predictions for how AI-driven threats, workforce disruption…
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Dave Schroeder, Utilization of National Guard Cyber Forces in Title 32 Status for National Cyber Missions
The U.S. military possesses a deep and extensive body of cyber expertise in uniform in the National Guard and Reserve force in particular. Leveraging this expertise effectively, both in a way that is productive for the military, and that is fulfilling and meaningful for the servicemember — which...
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Nick Selby, Build Things Properly
People talk quite a lot about things like 'shift left" that make it sound as if it is a new concept -- sold at your finer consultancies -- to build things properly in the first place. After two decades of incident response, smoke jumping and Tech Debt burndowns, I think it's time to talk about…
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Paul Vixie, Force Projection in the Information Domain: Implications of DNS Security
The DNS resolution path by which the world's internet content consumers locate the world's internet content producers has been under continuous attack since the earliest days of Internet commercialization and privatization. Much work has recently and is currently being invested to protect this...
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Tristen Mullins, Using Side-Channels for Critical Infrastructure Protection
About the speaker: Recorded: 04/23/2025 CERIAS Security Seminar at Purdue University Using Side-Channels for Critical Infrastructure Protection Tristen Mullins, ORNL Dr. Tristen Mullins is a cybersecurity professional specializing in side-channel analysis, cyber-physical systems security, and...
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Richard Love, Russian Hacking: Why, How, Who, and to What End
The purpose of Russian hacking and their concept of cyber war is conceptually and practically different from Western strategies. This talk will focus on understanding why Russia uses cyber tools to further strategic interests, how they do it (by examining the 2016 interference in the U.S....
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Josiah Dykstra, Lessons for Cybersecurity from the American Public Health System
This talk explores how the principles and practices of the American public health system can inform and enhance modern cybersecurity strategies. Drawing on insights from our recent CRA Quad Paper, we examine the parallels between public health methodologies and the challenges faced in today's...
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Michael Clothier, Annual CERIAS Security Symposium Closing Keynote IT, OT, IoT — It's Really Just the "T": An International and Historical Perspective
In today's rapidly evolving digital landscape, the lines between Information Technology (IT), Operational Technology (OT), and the Internet of Things (IoT) have become increasingly blurred. While these domains were once distinct, they now converge into a single, interconnected technology...
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Tim Benedict, The Future of AI Depends on Guardrails
As companies expand AI adoption to accelerate business growth, they face an evolving landscape of security risks and regulatory uncertainty. With guidelines and policies still taking shape, organizations must balance innovation with responsibility, ensuring AI is both secure and aligned with...
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Amir Sadovnik, What do we mean when we talk about AI Safety and Security?
In February 2024, Gladstone AI produced a report for the Department of State, which opens by stating that "The recent explosion of progress in advanced artificial intelligence … is creating entirely new categories of weapons of mass destruction-like and weapons of mass destruction-enabling...
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Hisham Zahid & David Haddad, Decrypting the Impact of Professional Certifications in Cybersecurity Careers
Professional certifications have become a defining feature of the cybersecurity industry, promising enhanced career prospects, higher salaries, and professional credibility. But do they truly deliver on these promises, or are there hidden drawbacks to pursuing them? This presentation takes a deep...
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Ali Al-Haj, Zero Trust Architectures and Digital Trust Frameworks: A Complementary or Contradictory Relationship?
This session explores the foundational concepts and practical applications of Zero Trust Architectures (ZTA) and Digital Trust Frameworks (DTF), two paradigms gaining traction in cybersecurity. While Zero Trust challenges the traditional notion of trust by enforcing strict access controls and...
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Adam Shostack, Risk is Not Axiomatic
This talk will look at how systems are secured at a practical engineering level and the science of risk. As we try to engineer secure systems, what are we trying to achieve and how can we do that? Modern threat modeling offers some practical approaches we can apply today. The limits of those...
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Mustafa Abdallah, Effects of Behavioral Decision-Making in Proactive Security Frameworks in Networked Systems
Facing increasingly sophisticated attacks from external adversaries, networked systems owners have to judiciously allocate their limited security budget to reduce their cyber risks. However, when modeling human decision-making, behavioral economics has shown that humans consistently deviate from...
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D. Richard Kuhn, How Can We Provide Assured Autonomy?
Safety and security-critical systems require extensive test and evaluation, but existing high assurance test methods are based on structural coverage criteria that do not apply to many black box AI and machine learning components. AI/ML systems make decisions based on training data rather than...
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Nick Harrell, Mechanisms of Virality in Online Discourse
Information virality is an increasingly important topic in modern media environments, but it often remains overlooked in discussions about information security. This presentation will explain why information virality is a cybersecurity concern and how it can be exploited to manipulate public...
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Stanislav Kruglik, Querying Twice: How to Ensure We Obtain the Correct File in a Private Information Retrieval Protocol
Private Information Retrieval (PIR) is a cryptographic primitive that enables a client to retrieve a record from a database hosted by one or more untrusted servers without revealing which record was accessed. It has a wide range of applications, including private web search, private DNS,...
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ABOUT THIS SHOW
CERIAS -- the Nation's top-ranked interdisciplinary academic education and research institute -- hosts a weekly cyber security, privacy, resiliency or autonomy speaker, highlighting technical discovery, a case studies or exploring cyber operational approaches; they are not product demonstrations, service sales pitches, or company recruitment presentations. Join us weekly...or explore 25 years of archives for the who's-who in cybersecurity.
HOSTED BY
CERIAS <[email protected]>
CATEGORIES
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