How many dimensions are required to find an adversarial example?
Authors: Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler | Published: 2023-03-24 | Updated: 2023-04-11
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Certified Robust Neural Networks: Generalization and Corruption Resistance
Authors: Amine Bennouna, Ryan Lucas, Bart Van Parys | Published: 2023-03-03 | Updated: 2023-05-18
Generalization Bounds for Adversarial Contrastive Learning
Authors: Xin Zou, Weiwei Liu | Published: 2023-02-21
On the Discredibility of Membership Inference Attacks
Authors: Shahbaz Rezaei, Xin Liu | Published: 2022-12-06 | Updated: 2023-04-28
Hijack Vertical Federated Learning Models As One Party
Authors: Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang | Published: 2022-12-01 | Updated: 2024-02-16
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Authors: Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus | Published: 2022-10-21
Scaling Adversarial Training to Large Perturbation Bounds
Authors: Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu | Published: 2022-10-18
Towards Generating Adversarial Examples on Mixed-type Data
Authors: Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang | Published: 2022-10-17
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Authors: Chawin Sitawarin, Florian Tramèr, Nicholas Carlini | Published: 2022-10-07 | Updated: 2023-07-20
A Black-Box Attack on Optical Character Recognition Systems
Authors: Samet Bayram, Kenneth Barner | Published: 2022-08-30