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10 Results
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Workshop
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Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri · Xiao Zhang · David Evans |
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Workshop
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On the Privacy Risks of Post-Hoc Explanations of Foundation Models Catherine Huang · Martin Pawelczyk · Himabindu Lakkaraju |
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Oral
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Wed 8:15 |
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh · Philippe Liu · Reza Shokri |
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Poster
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Tue 2:30 |
Membership Inference Attacks on Diffusion Models via Quantile Regression Shuai Tang · Steven Wu · Sergul Aydore · Michael Kearns · Aaron Roth |
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Workshop
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Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference Catherine Huang · Martin Pawelczyk · Himabindu Lakkaraju |
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Workshop
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: Gradient-based and Task-Agnostic Machine Unlearning Daniel Trippa · Cesare Campagnano · Maria Sofia Bucarelli · Gabriele Tolomei · Fabrizio Silvestri |
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Workshop
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Is My Data Safe? Predicting Membership Inference Success for Individual Instances Tobias Leemann · Bardh Prenkaj · Gjergji Kasneci |
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Poster
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Tue 4:30 |
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu · Lei Feng · HUIPING ZHUANG · Xiaofeng Cao · Hongxin Wei |
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Poster
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Wed 4:30 |
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh · Philippe Liu · Reza Shokri |
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Workshop
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Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? Michael-Andrei Panaitescu-Liess · Zora Che · Bang An · Yuancheng Xu · Pankayaraj Pathmanathan · Souradip Chakraborty · Sicheng Zhu · Tom Goldstein · Furong Huang |