This talk will explore the robustness challenges in deep learning and large language models LLMs , demonstrating how seemingly minor perturbations can lead to critical failures. I will present my research on evaluating and mitigating AI risks, including adversarial robustness, LLM jailbreak vulnerabilities, and the broader implications of AI safety.
By developing rigorous benchmarks, novel evaluation methods, and foundational theoretical insights, my work aims to provide effective safeguards for AI deployment. Ultimately, I advocate for a systematic approach to AI risk mitigation that integrates technical solutions with real-world considerations to ensure the safe and responsible use of AI systems.
Nicolas Flammarion. Measuring and Improving Fairness and Resilience Across the Blockchain Ecosystem Lioba Heimbach ETH Zurich hosted by Krishna Gummadi , - Kaiserslautern building G26, room Abstract: The multi-layer blockchain architecture presents unique challenges, as issues in one layer can amplify or cause problems in another.
My research investigates the interactions between these layers and the resulting challenges, with the goal of enhancing fairness and resilience in the blockchain ecosystem. In the first part of this talk, I will explore how financial value originating at the application layer can threaten the consensus layer, focusing on non-atomic arbitrage โ arbitrage between on-chain and off-chain exchanges. I will demonstrate how this value, despite originating at the application layer, introduces centralizing forces and security vulnerabilities in the consensus layer.
In the second part, I will show how these dynamics operate in the opposite direction. As I will demonstrate, the P2P network leaks validator locations. This vulnerability allows malicious validators i. Her research focuses on blockchain protocols, with a particular emphasis on decentralized finance DeFi. She aims to enhance the accessibility, resilience, fairness, and efficiency of DeFi and the blockchain ecosystem. To achieve this, she conducts measurement studies and analytical evaluations to understand participant behavior, analyze protocol dynamics, and identify vulnerabilities and inefficiencies.
