Active Learning Under Malicious Mislabeling and Poisoning Attacks
Authors: Jing Lin, Ryan Luley, Kaiqi Xiong | Published: 2021-01-01 | Updated: 2021-09-02
バックドア攻撃
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Authors: Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein | Published: 2020-12-18 | Updated: 2021-03-31
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
Authors: Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2020-12-07 | Updated: 2021-12-02
FAT: Federated Adversarial Training
Authors: Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser | Published: 2020-12-03
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers
Authors: Tzvika Shapira, David Berend, Ishai Rosenberg, Yang Liu, Asaf Shabtai, Yuval Elovici | Published: 2020-10-30
VenoMave: Targeted Poisoning Against Speech Recognition
Authors: Hojjat Aghakhani, Lea Schönherr, Thorsten Eisenhofer, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna | Published: 2020-10-21 | Updated: 2023-04-20
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification
Authors: Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck | Published: 2020-10-19
Embedding and Extraction of Knowledge in Tree Ensemble Classifiers
Authors: Wei Huang, Xingyu Zhao, Xiaowei Huang | Published: 2020-10-16 | Updated: 2021-10-26
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
Authors: Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang | Published: 2020-10-06 | Updated: 2020-10-08
Data Poisoning Attacks on Regression Learning and Corresponding Defenses
Authors: Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger | Published: 2020-09-15