Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks
Authors: Kathrin Grosse, Taesung Lee, Battista Biggio, Youngja Park, Michael Backes, Ian Molloy | Published: 2020-06-11 | Updated: 2021-11-02
バックドア攻撃
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
Authors: Hojjat Aghakhani, Dongyu Meng, Yu-Xiang Wang, Christopher Kruegel, Giovanni Vigna | Published: 2020-05-01 | Updated: 2021-03-14
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Authors: Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin | Published: 2020-04-30 | Updated: 2020-07-03
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Authors: Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor | Published: 2020-04-24
Weight Poisoning Attacks on Pre-trained Models
Authors: Keita Kurita, Paul Michel, Graham Neubig | Published: 2020-04-14
MetaPoison: Practical General-purpose Clean-label Data Poisoning
Authors: W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein | Published: 2020-04-01 | Updated: 2021-02-21
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Authors: Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu | Published: 2020-03-27 | Updated: 2020-06-22
RAB: Provable Robustness Against Backdoor Attacks
Authors: Maurice Weber, Xiaojun Xu, Bojan Karlaš, Ce Zhang, Bo Li | Published: 2020-03-19 | Updated: 2023-08-03
Towards Probabilistic Verification of Machine Unlearning
Authors: David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal | Published: 2020-03-09 | Updated: 2020-12-01
Towards Backdoor Attacks and Defense in Robust Machine Learning Models
Authors: Ezekiel Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay | Published: 2020-02-25 | Updated: 2023-01-11