Detecting Adversarial Examples by Input Transformations, Defense
Perturbations, and Voting

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Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting

27 January 2021

Alessandro Biondi

Giorgio Buttazzo

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Papers citing "Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting"

14 / 14 papers shown

Title
Detection of Adversarial Physical Attacks in Time-Series Image Data Ramneet Kaur Y. Kantaros Wenwen Si James Weimer Insup Lee AAML 46 3 0 27 Apr 2023
Targeted Adversarial Attacks against Neural Network Trajectory Predictors Kai Liang Tan Jun Wang Y. Kantaros AAML 82 15 0 08 Dec 2022
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis Giulio Rossolini F. Nesti Fabio Brau Alessandro Biondi Giorgio Buttazzo AAML 61 10 0 14 Mar 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 76 6 0 31 Jan 2022
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Giulio Rossolini F. Nesti G. D’Amico Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 83 41 0 05 Jan 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 63 8 0 04 Jan 2022
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection Hui Liu Bo Zhao Yuefeng Peng Weidong Li Peng Liu AAML 68 1 0 04 Jan 2022
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 71 4 0 16 Sep 2021
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks F. Nesti Giulio Rossolini Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 86 76 0 13 Aug 2021
Unsupervised Detection of Adversarial Examples with Model Explanations Gihyuk Ko Gyumin Lim AAML GAN 41 5 0 22 Jul 2021
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks Hang Wang David J. Miller G. Kesidis GAN AAML 50 13 0 21 May 2021
Adversarial Examples Detection with Bayesian Neural Network Yao Li Tongyi Tang Cho-Jui Hsieh T. C. Lee GAN AAML 60 3 0 18 May 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 71 15 0 28 Jan 2021
Defending Adversarial Attacks via Semantic Feature Manipulation Shuo Wang Tianle Chen Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen AAML 51 7 0 03 Feb 2020