Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
Authors: Andi Zhang, Mingtian Zhang, Damon Wischik | Published: 2023-06-01 | Updated: 2024-11-24
敵対的攻撃手法
Verifiable Learning for Robust Tree Ensembles
Authors: Stefano Calzavara, Lorenzo Cazzaro, Giulio Ermanno Pibiri, Nicola Prezza | Published: 2023-05-05 | Updated: 2023-11-11
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
Authors: Giovanni Apruzzese, Pavel Laskov, Johannes Schneider | Published: 2023-04-30
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Authors: Maxwell Standen, Junae Kim, Claudia Szabo | Published: 2023-01-11
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Authors: Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus | Published: 2022-10-21
New data poison attacks on machine learning classifiers for mobile exfiltration
Authors: Miguel A. Ramirez, Sangyoung Yoon, Ernesto Damiani, Hussam Al Hamadi, Claudio Agostino Ardagna, Nicola Bena, Young-Ji Byon, Tae-Yeon Kim, Chung-Suk Cho, Chan Yeob Yeun | Published: 2022-10-20
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Authors: Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein | Published: 2022-10-19 | Updated: 2023-06-01
An Empirical Analysis of SMS Scam Detection Systems
Authors: Muhammad Salman, Muhammad Ikram, Mohamed Ali Kaafar | Published: 2022-10-19
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