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Workshop
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Privacy Amplification via Iteration for Shuffled and Online PNSGD
Matteo Sordello · Zhiqi Bu · Jinshuo Dong · Weijie J Su
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Workshop
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Privacy and Integrity Preserving Training Using Trusted Hardware
Seyedeh Hanieh Hashemi · Yongqin Wang · Murali Annavaram
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Workshop
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Does Differential Privacy Defeat Data Poisoning?
Matthew Jagielski · Alina Oprea
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Workshop
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Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
Daniel Reusche · Nicolás Della Penna
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Workshop
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Towards Causal Federated Learning - For enhanced robustness and privacy
Sreya Francis
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Workshop
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DEEP GRADIENT ATTACK WITH STRONG DP-SGD LOWER BOUND FOR LABEL PRIVACY
Sen Yuan
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Workshop
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Fri 9:35
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Q&A for Frequency Estimation in Local and Multiparty Differential Privacy
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Workshop
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Fri 12:13
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Introduction for A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences
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Workshop
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Fri 12:40
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Q&A for A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences
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Spotlight
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Wed 13:58
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Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramer · Dan Boneh
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Workshop
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Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT
Antti Koskela · Antti Honkela
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Poster
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Thu 1:00
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R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu · Matthew Blaschko
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