Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
Authors: Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti | Published: 2021-02-15 | Updated: 2022-05-03
Literature Database
Certifiably Robust Variational Autoencoders
Authors: Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth | Published: 2021-02-15 | Updated: 2022-04-23
Perceptually Constrained Adversarial Attacks
Authors: Muhammad Zaid Hameed, Andras Gyorgy | Published: 2021-02-14
Private Prediction Sets
Authors: Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan | Published: 2021-02-11 | Updated: 2024-03-03
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
Authors: Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang | Published: 2021-02-10 | Updated: 2021-06-14
CaPC Learning: Confidential and Private Collaborative Learning
Authors: Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang | Published: 2021-02-09 | Updated: 2021-03-19
“What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Authors: Sahar Abdelnabi, Mario Fritz | Published: 2021-02-09 | Updated: 2021-03-09
$k$-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
Authors: Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer | Published: 2021-02-09 | Updated: 2022-06-22
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack
Authors: Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang | Published: 2021-02-08 | Updated: 2021-03-01
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Authors: Jan Hendrik Metzen, Maksym Yatsura | Published: 2021-02-08