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Poster
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Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
Du Chen · Geoffrey A. Chua
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Poster
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Fri 11:00
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Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
ZhenTing Liu · ShangTse Chen
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Poster
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Wed 16:30
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DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans
Yuan Gan · Jiaxu Miao · Yi Yang
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Poster
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Thu 16:30
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Attack-Aware Noise Calibration for Differential Privacy
Bogdan Kulynych · Juan Gomez · Georgios Kaissis · Flavio Calmon · Carmela Troncoso
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Poster
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Wed 16:30
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HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
Yancheng Zhang · Mengxin Zheng · Yuzhang Shang · Xun Chen · Qian Lou
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Poster
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Thu 11:00
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A Synthetic Dataset for Personal Attribute Inference
Hanna Yukhymenko · Robin Staab · Mark Vero · Martin Vechev
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Poster
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Wed 16:30
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Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
Hongjie Chen · Jingqiu Ding · Yiding Hua · David Steurer
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Affinity Event
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Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering
Afaf Taik · Saber Malekmohammadi · Golnoosh Farnadi
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Poster
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Thu 11:00
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DAGER: Exact Gradient Inversion for Large Language Models
Ivo Petrov · Dimitar I. Dimitrov · Maximilian Baader · Mark Müller · Martin Vechev
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Poster
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Fri 16:30
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Instance-Specific Asymmetric Sensitivity in Differential Privacy
David Durfee
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Poster
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Thu 11:00
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PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
Yijia Shao · Tianshi Li · Weiyan Shi · Yanchen Liu · Diyi Yang
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Poster
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Thu 16:30
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Certified Machine Unlearning via Noisy Stochastic Gradient Descent
Eli Chien · Haoyu Wang · Ziang Chen · Pan Li
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