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55 Results
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Workshop
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An Adversarial Perspective on Machine Unlearning for AI Safety Jakub Łucki · Boyi Wei · Yangsibo Huang · Peter Henderson · Florian Tramer · Javier Rando |
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Using Influence Functions to Unlearn Poisons Wenjie Li · Jiawei Li · Christian Schroeder de Witt · Ameya Prabhu · Amartya Sanyal |
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Learning From Convolution-based Unlearnable Datasets Dohyun Kim · Pedro Sandoval-Segura |
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Towards Natural Machine Unlearning Zhengbao He · Tao Li · Xinwen Cheng · Zhehao Huang · Xiaolin Huang |
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Hierarchical Unlearning Framework for Multi-Class Classification Abraham Chan · Arpan Gujarati · Karthik Pattabiraman · Sathish Gopalakrishnan |
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Model Manipulation Attacks Enable More Rigorous Evaluations of LLM Unlearning Zora Che · Stephen Casper · Anirudh Satheesh · Rohit Gandikota · Domenic Rosati · Stewart Slocum · Lev McKinney · Zichu Wu · Zikui Cai · Bilal Chughtai · Furong Huang · Dylan Hadfield-Menell |
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Sat 9:10 |
Keynote 2: Understanding How Knowledge Can Be Localized, Unlearned, or Verified in Foundation Models Soheil Feizi |
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Workshop
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Fairness Implications of Machine Unlearning: Bias Risks in Removing NSFW Content from Text-to-Image Models Xiwen Wei · Guihong Li · Radu Marculescu |
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TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini · Zhili Feng · Avi Schwarzschild · Zachary Lipton · J. Zico Kolter |
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Workshop
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Efficient Local Unlearning for Gaussian Processes with Out-of-Distribution Data Juliusz Ziomek · Ilija Bogunovic |
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Workshop
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An Adversarial Perspective on Machine Unlearning for AI Safety Jakub Łucki · Boyi Wei · Yangsibo Huang · Peter Henderson · Florian Tramer · Javier Rando |
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Workshop
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Targeted Unlearning with Single Layer Unlearning Gradient Zikui Cai · Yaoteng Tan · M. Salman Asif |