Blocking Transferability of Adversarial Examples in Black-Box Learning Systems

13 March 2017

Papers citing "Blocking Transferability of Adversarial Examples in Black-Box Learning Systems"

9 / 9 papers shown

Title
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 24 0 0 14 Nov 2023
Adversarial Attacks on Transformers-Based Malware Detectors Yash Jakhotiya Heramb Patil Jugal Rawlani Dr. Sunil B. Mane AAML 15 4 0 01 Oct 2022
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 19 25 0 04 Feb 2021
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 13 103 0 13 Nov 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei Xin Liu SILM AAML 15 46 0 08 Apr 2019
Scalable Differential Privacy with Certified Robustness in Adversarial Learning Nhathai Phan My T. Thai Han Hu R. Jin Tong Sun Dejing Dou 19 14 0 23 Mar 2019
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Bo-wen Li F. I. F. Richard Yu M. Liu D. Song AAML 13 99 0 11 Oct 2018
Extending Defensive Distillation Nicolas Papernot Patrick D. McDaniel AAML 19 118 0 15 May 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 263 5,833 0 08 Jul 2016