The Taboo Trap: Behavioural Detection of Adversarial Samples

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The Taboo Trap: Behavioural Detection of Adversarial Samples

18 November 2018

Robert D. Mullins

Ross J. Anderson

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Papers citing "The Taboo Trap: Behavioural Detection of Adversarial Samples"

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Title
Efficient Adversarial Training With Data Pruning Maximilian Kaufmann Yiren Zhao Ilia Shumailov Robert D. Mullins Nicolas Papernot AAML 152 9 0 01 Jul 2022
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs Lorena Qendro Sangwon Ha R. D. Jong Partha P. Maji AAML FedML MQ 90 7 0 13 May 2021
Confusing and Detecting ML Adversarial Attacks with Injected Attractors Jiyi Zhang E. Chang H. Lee AAML 107 1 0 05 Mar 2020
Towards Certifiable Adversarial Sample Detection Ilia Shumailov Yiren Zhao Robert D. Mullins Ross J. Anderson AAML 65 14 0 20 Feb 2020
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 122 31 0 06 Sep 2019
Sitatapatra: Blocking the Transfer of Adversarial Samples Ilia Shumailov Xitong Gao Yiren Zhao Robert D. Mullins Ross J. Anderson Chengzhong Xu AAML GAN 108 15 0 23 Jan 2019
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson AAML 123 43 0 29 Sep 2018