adversary
Red Teaming Deep Neural Networks with Feature Synthesis Tools
We argue that this is due, in part, to a common feature of many interpretability methods: they analyze model behavior by using a particular dataset.
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On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
David P. Woodruff, CMU, dwoodruf@cs.cmu.edu "3026 Fred Zhang, UC Berkeley, z0@berkeley.edu "3026 Samson Zhou, Texas A&M University, samsonzhou@gmail.com
In this paper, we study robust algorithms for the experts problem under memory constraints.
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Black-Box Differential Privacy for Interactive ML
We show that any (possibly non-private) learning rule can be effectively transformed to a private learning rule with only a polynomial overhead in the mistake bound.
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