Jacobian Regularization for Mitigating Universal Adversarial Perturbations
Authors: Kenneth T. Co, David Martinez Rego, Emil C. Lupu | Published: 2021-04-21 | Updated: 2021-09-13
Defense Mechanism
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Authors: Yue Gao, Ilia Shumailov, Kassem Fawaz | Published: 2021-04-18 | Updated: 2022-06-19
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack
Authors: Luca Pajola, Mauro Conti | Published: 2021-04-13
Sparse Coding Frontend for Robust Neural Networks
Authors: Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow | Published: 2021-04-12
Adversarial Attacks and Defenses for Speech Recognition Systems
Authors: Piotr Żelasko, Sonal Joshi, Yiwen Shao, Jesus Villalba, Jan Trmal, Najim Dehak, Sanjeev Khudanpur | Published: 2021-03-31
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Authors: Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier | Published: 2021-03-29
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels — Attacks and Defenses
Authors: Saurav Maji, Utsav Banerjee, Anantha P. Chandrakasan | Published: 2021-03-26
Black-box Detection of Backdoor Attacks with Limited Information and Data
Authors: Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu | Published: 2021-03-24
A Challenge Obfuscating Interface for Arbiter PUF Variants against Machine Learning Attacks
Authors: Yu Zhuang, Khalid T. Mursi, Li Gaoxiang | Published: 2021-03-24
With False Friends Like These, Who Can Notice Mistakes?
Authors: Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen | Published: 2020-12-29 | Updated: 2021-12-13