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Poster
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Tue 9:00
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Blind Attacks on Machine Learners
Alex Beatson · Zhaoran Wang · Han Liu
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Poster
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Mon 9:00
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Equality of Opportunity in Supervised Learning
Moritz Hardt · Eric Price · Eric Price · Nati Srebro
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Poster
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Mon 9:00
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Online and Differentially-Private Tensor Decomposition
Yining Wang · Anima Anandkumar
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Poster
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Wed 9:00
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Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li · Yining Wang · Aarti Singh · Yevgeniy Vorobeychik
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Poster
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Wed 9:00
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Differential Privacy without Sensitivity
Kentaro Minami · Hiromi Arai · Issei Sato · Hiroshi Nakagawa
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Poster
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Tue 9:00
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A primal-dual method for conic constrained distributed optimization problems
Necdet Serhat Aybat · Erfan Yazdandoost Hamedani
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Workshop
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Fri 8:15
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Dawn Song — Lessons and Open Challenges in Secure and Privacy-Preserving Machine Learning and Data Analytics
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Poster
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Wed 9:00
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Examples are not enough, learn to criticize! Criticism for Interpretability
Been Kim · Sanmi Koyejo · Rajiv Khanna
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Oral
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Thu 2:30
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Examples are not enough, learn to criticize! Criticism for Interpretability
Been Kim · Sanmi Koyejo · Rajiv Khanna
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Poster
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Wed 9:00
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Privacy Odometers and Filters: Pay-as-you-Go Composition
Ryan Rogers · Salil Vadhan · Aaron Roth · Jonathan Ullman
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