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Workshop
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Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
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Workshop
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TMI! Finetuned Models Spill Secrets from Pretraining
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Workshop
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An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
Jonathan Erskine · Raul Santos-Rodriguez · Alexander Hepburn · Matt Clifford
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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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Learning-augmented private algorithms for multiple quantile release
Mikhail Khodak · Kareem Amin · Travis Dick · Sergei Vassilvitskii
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Workshop
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TMI! Finetuned Models Spill Secrets from Pretraining
John Abascal · Stanley Wu · Alina Oprea · Jonathan Ullman
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Poster
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Tue 17:00
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Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta
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Oral
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Wed 20:12
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Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta
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Poster
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Tue 14:00
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Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
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Oral
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Wed 19:48
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Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
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Poster
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Thu 16:30
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ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Siyuan Chen · Pratik Fegade · Tianqi Chen · Phillip Gibbons · Todd Mowry
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Poster
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Tue 17:00
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Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin · Florian Tramer · Nicholas Carlini
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