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Workshop
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Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko · Francesco Croce · Nicolas Flammarion
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Workshop
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Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models
Bang An · Sicheng Zhu · Ruiyi Zhang · Michael-Andrei Panaitescu-Liess · Yuancheng Xu · Furong Huang
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Poster
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Thu 4:30
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Scalable AI Safety via Doubly-Efficient Debate
Jonah Brown-Cohen · Geoffrey Irving · Georgios Piliouras
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Oral Session
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Thu 7:30
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Oral 6E Robustness and Safety
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Oral
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Tue 7:45
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Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research
Riley Simmons-Edler · Ryan Badman · Shayne Longpre · Kanaka Rajan
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Oral
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Wed 8:00
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AI Control: Improving Safety Despite Intentional Subversion
Ryan Greenblatt · Buck Shlegeris · Kshitij Sachan · Fabien Roger
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Poster
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Thu 2:30
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Fair Data Representation for Machine Learning at the Pareto Frontier
Shizhou Xu · Thomas Strohmer
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Social
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Tue 8:30
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AI Safety Social: Navigating Misuse, Ethical Challenges, and Systemic Risks
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Poster
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Wed 4:30
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Monotone Individual Fairness
Yahav Bechavod
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Poster
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Thu 2:30
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Standardized Interpretable Fairness Measures for Continuous Risk Scores
Ann-Kristin Becker · Oana Dumitrasc · Klaus Broelemann
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Poster
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Wed 2:30
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Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms
Eleonora Bonel · Luca Nannini · Davide Bassi · Michele Maggini
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Oral
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Thu 8:15
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Scalable AI Safety via Doubly-Efficient Debate
Jonah Brown-Cohen · Geoffrey Irving · Georgios Piliouras
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