Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps

24 August 2022

Papers citing "Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps"

6 / 6 papers shown

Title
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature Binxiu Liang Jiachun Li Jianjun Huang AAML 17 12 0 09 Jun 2021
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 11 3 0 07 Aug 2020
Detection of Face Recognition Adversarial Attacks F. V. Massoli F. Carrara Giuseppe Amato Fabrizio Falchi AAML 14 54 0 05 Dec 2019
Deep Learning in the Wild Thilo Stadelmann Mohammadreza Amirian Ismail Arabaci M. Arnold G. Duivesteijn ... Melanie Geiger Stefan Lörwald B. Meier Katharina Rombach Lukas Tuggener 13 42 0 13 Jul 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,833 0 08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015