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Poster
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Thu 13:30
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How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
Raphaël Olivier · Bhiksha Raj
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
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Workshop
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Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
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Workshop
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Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
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Workshop
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Large Language Models for Code: Security Hardening and Adversarial Testing
Jingxuan He · Martin Vechev
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Workshop
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Why do universal adversarial attacks work on large language models?: Geometry might be the answer
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Workshop
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
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Workshop
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Introducing Vision into Large Language Models Expands Attack Surfaces and Failure Implications
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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
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Poster
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Wed 14:00
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PAC-Bayesian Generalization Bounds for Adversarial Generative Models
Sokhna Diarra Mbacke · Florence Clerc · Pascal Germain
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Workshop
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Scoring Black-Box Models for Adversarial Robustness
Jian Vora · Pranay Reddy Samala
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