A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Authors: Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru | Published: 2019-12-03 | Updated: 2020-02-07
Vulnerability of Adversarial Examples
A Method for Computing Class-wise Universal Adversarial Perturbations
Authors: Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy | Published: 2019-12-01
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Authors: Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli | Published: 2019-09-03 | Updated: 2019-12-20
Metric Learning for Adversarial Robustness
Authors: Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray | Published: 2019-09-03 | Updated: 2019-10-28
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Authors: Francesco Croce, Matthias Hein | Published: 2019-07-03 | Updated: 2020-07-20
Identifying Classes Susceptible to Adversarial Attacks
Authors: Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan | Published: 2019-05-30
Bandlimiting Neural Networks Against Adversarial Attacks
Authors: Yuping Lin, Kasra Ahmadi K. A., Hui Jiang | Published: 2019-05-30
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
Authors: Avishek Joey Bose, Andre Cianflone, William L. Hamilton | Published: 2019-05-26 | Updated: 2020-01-20
Purifying Adversarial Perturbation with Adversarially Trained Auto-encoders
Authors: Hebi Li, Qi Xiao, Shixin Tian, Jin Tian | Published: 2019-05-26
Adversarial Distillation for Ordered Top-k Attacks
Authors: Zekun Zhang, Tianfu Wu | Published: 2019-05-25