Optimal Accounting of Differential Privacy via Characteristic Function
Authors: Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang | Published: 2021-06-16 | Updated: 2022-05-31
Spoofing Generalization: When Can’t You Trust Proprietary Models?
Authors: Ankur Moitra, Elchanan Mossel, Colin Sandon | Published: 2021-06-15 | Updated: 2022-03-23
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
Authors: Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra | Published: 2021-06-14 | Updated: 2022-07-23
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
Authors: Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause | Published: 2021-06-14
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Authors: Joon-Woo Lee, HyungChul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, Jong-Seon No | Published: 2021-06-14
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
Authors: Feng Lin, Weiyu Li, Qing Ling | Published: 2021-06-13
Verifying Quantized Neural Networks using SMT-Based Model Checking
Authors: Luiz Sena, Xidan Song, Erickson Alves, Iury Bessa, Edoardo Manino, Lucas Cordeiro, Eddie de Lima Filho | Published: 2021-06-10 | Updated: 2021-09-16
AI-enabled Automation for Completeness Checking of Privacy Policies
Authors: Orlando Amaral, Sallam Abualhaija, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand | Published: 2021-06-10 | Updated: 2021-10-05
Bayesian Attention Belief Networks
Authors: Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou | Published: 2021-06-09
Adaptive Machine Unlearning
Authors: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites | Published: 2021-06-08