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62 Results
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Workshop
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Differentially Private Generation of High Fidelity Samples From Diffusion Models Vikash Sehwag · Ashwinee Panda · Ashwini Pokle · Xinyu Tang · Saeed Mahloujifar · Mung Chiang · Zico Kolter · Prateek Mittal |
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Workshop
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Can Public Large Language Models Help Private Cross-device Federated Learning? Boxin Wang · Yibo J. Zhang · Yuan Cao · Bo Li · Hugh B McMahan · Sewoong Oh · Zheng Xu · Manzil Zaheer |
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Workshop
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Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage Catherine Huang · Chelse Swoopes · Christina Xiao · Jiaqi Ma · Himabindu Lakkaraju |
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Workshop
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Teach GPT To Phish Ashwinee Panda · Zhengming Zhang · Yaoqing Yang · Prateek Mittal |
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Workshop
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On Memorization and Privacy risks of Sharpness Aware Minimization Young In Kim · Pratiksha Agrawal · Johannes Royset · RAJIV KHANNA |
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Workshop
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Local Differential Privacy with Entropic Wasserstein Distance Daria Reshetova · Wei-Ning Chen · Ayfer Ozgur |
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Workshop
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Machine Learning with Feature Differential Privacy Saeed Mahloujifar · Chuan Guo · G. Edward Suh · Kamalika Chaudhuri |
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Workshop
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DP-LFlow: Differentially Private Latent Flow for Scalable Sensitive Image Generation Dihong Jiang · Sun Sun |
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Workshop
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Privacy Auditing with One (1) Training Run Thomas Steinke · Milad Nasresfahani · Matthew Jagielski |
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Workshop
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The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev · Joshua Vendrow · Hadi Salman · Sung Min (Sam) Park · Aleksander Madry |
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Workshop
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Sat 19:00 |
Panel Discussion on Privacy |
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Workshop
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Exposing the Fake: Effective Diffusion-Generated Images Detection |