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106 Results
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Poster
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Thu 4:30 |
Improved Communication-Privacy Trade-offs in Mean Estimation under Streaming Differential Privacy Wei-Ning Chen · Berivan Isik · Peter Kairouz · Albert No · Sewoong Oh · Zheng Xu |
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Workshop
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Privacy-Efficacy Tradeoff of Clipped SGD with Decision-dependent Data Qiang Li · Michal Yemini · Hoi To Wai |
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Oral
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Wed 7:45 |
Trained Random Forests Completely Reveal your Dataset Julien Ferry · Ricardo Fukasawa · Timothée Pascal · Thibaut Vidal |
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Poster
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Wed 4:30 |
The Fundamental Limits of Least-Privilege Learning Theresa Stadler · Bogdan Kulynych · Michael Gastpar · Nicolas Papernot · Carmela Troncoso |
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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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Poster
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Thu 2:30 |
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi · Yaoliang Yu · YANG CAO |
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Poster
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Thu 2:30 |
Shifted Interpolation for Differential Privacy Jinho Bok · Weijie Su · Jason Altschuler |
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Poster
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Thu 2:30 |
The Privacy Power of Correlated Noise in Decentralized Learning Youssef Allouah · Anastasiia Koloskova · Aymane Firdoussi · Martin Jaggi · Rachid Guerraoui |
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Poster
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Tue 2:30 |
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation Gavin Brown · Krishnamurthy Dvijotham · Georgina Evans · Daogao Liu · Adam Smith · Abhradeep Guha Thakurta |
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Poster
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Wed 4:30 |
Differentially Private Bias-Term Fine-tuning of Foundation Models Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis |
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Poster
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Wed 2:30 |
Auditing Private Prediction Karan Chadha · Matthew Jagielski · Nicolas Papernot · Christopher A. Choquette Choo · Milad Nasr |
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Oral
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Thu 8:00 |
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning Chendi Wang · Yuqing Zhu · Weijie Su · Yu-Xiang Wang |