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125 Results
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Poster
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Fri 11:00 |
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models Daizong Liu · Mingyu Yang · Xiaoye Qu · Pan Zhou · Xiang Fang · Keke Tang · Yao Wan · Lichao Sun |
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Poster
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Thu 11:00 |
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martin Bertran · Shuai Tang · Michael Kearns · Jamie Morgenstern · Aaron Roth · Steven Wu |
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Poster
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Fri 16:30 |
Dimension-free Private Mean Estimation for Anisotropic Distributions Yuval Dagan · Michael Jordan · Xuelin Yang · Lydia Zakynthinou · Nikita Zhivotovskiy |
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Poster
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Wed 11:00 |
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions Hilal Asi · Daogao Liu · Kevin Tian |
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Poster
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Fri 11:00 |
Differentially Private Equivalence Testing for Continuous Distributions and Applications Or Sheffet · Daniel Omer |
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Poster
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Fri 11:00 |
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction Xinwei Zhang · Zhiqi Bu · Mingyi Hong · Meisam Razaviyayn |
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Poster
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Wed 16:30 |
Sample-Efficient Private Learning of Mixtures of Gaussians Hassan Ashtiani · Mahbod Majid · Shyam Narayanan |
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Poster
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Thu 16:30 |
Certified Machine Unlearning via Noisy Stochastic Gradient Descent Eli Chien · Haoyu Wang · Ziang Chen · Pan Li |
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Poster
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Thu 16:30 |
Scalable DP-SGD: Shuffling vs. Poisson Subsampling Lynn Chua · Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Amer Sinha · Chiyuan Zhang |
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Poster
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Thu 16:30 |
SPEAR: Exact Gradient Inversion of Batches in Federated Learning Dimitar I. Dimitrov · Maximilian Baader · Mark Müller · Martin Vechev |
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Poster
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Thu 11:00 |
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien · Haoyu Wang · Ziang Chen · Pan Li |
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Poster
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Wed 11:00 |
Differentially Private Set Representations Sarvar Patel · Giuseppe Persiano · Joon Young Seo · Kevin Yeo |