DLA: Dense-Layer-Analysis for Adversarial Example Detection

5 November 2019

Papers citing "DLA: Dense-Layer-Analysis for Adversarial Example Detection"

8 / 8 papers shown

Title
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems Mostafa Jafari Alireza Shameli-Sendi AAML 31 0 0 14 May 2025
AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking Ruoxi Chen Haibo Jin Jinyin Chen Haibin Zheng AAML 16 0 0 25 Mar 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 59 18 0 22 Feb 2023
Detecting Adversarial Perturbations in Multi-Task Perception Marvin Klingner V. Kumar S. Yogamani Andreas Bär Tim Fingscheidt AAML 37 15 0 02 Mar 2022
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang Xilie Xu Bo Han Tongliang Liu Gang Niu Li-zhen Cui Masashi Sugiyama NoLa AAML 23 9 0 31 May 2021
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 21 3 0 07 Aug 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 303 3,115 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 335 5,849 0 08 Jul 2016