Holistic Adversarial Robustness of Deep Learning Models
Authors: Pin-Yu Chen, Sijia Liu | Published: 2022-02-15 | Updated: 2023-01-05
Defense Method
Membership Inference Attacks and Defenses in Neural Network Pruning
Authors: Xiaoyong Yuan, Lan Zhang | Published: 2022-02-07 | Updated: 2022-08-03
Pixle: a fast and effective black-box attack based on rearranging pixels
Authors: Jary Pomponi, Simone Scardapane, Aurelio Uncini | Published: 2022-02-04
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Authors: Tianshuo Cong, Xinlei He, Yang Zhang | Published: 2022-01-27 | Updated: 2022-08-31
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
Authors: Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang | Published: 2021-12-29 | Updated: 2022-10-07
SoK: A Study of the Security on Voice Processing Systems
Authors: Robert Chang, Logan Kuo, Arthur Liu, Nader Sehatbakhsh | Published: 2021-12-24
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
Authors: Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees, Tayeb Kenaza | Published: 2021-12-22
A Theoretical View of Linear Backpropagation and Its Convergence
Authors: Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang | Published: 2021-12-21 | Updated: 2024-01-10
Robustifying automatic speech recognition by extracting slowly varying features
Authors: Matías Pizarro, Dorothea Kolossa, Asja Fischer | Published: 2021-12-14 | Updated: 2024-11-06
On the Security & Privacy in Federated Learning
Authors: Gorka Abad, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta | Published: 2021-12-10 | Updated: 2022-03-16