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Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

8 December 2017

Battista Biggio

Fabio Roli

AAML

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Papers citing "Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning"

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Title
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 55 2 0 01 Feb 2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers Hugo Lemarchant Liang Li Yiming Qian Yuta Nakashima Hajime Nagahara ViT AAML 78 0 0 31 Jan 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark Gales AAML 79 3 0 30 Jan 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness Bao Gia Doan Shuiqiao Yang Paul Montague O. Vel Tamas Abraham S. Çamtepe S. Kanhere Ehsan Abbasnejad Damith C. Ranasinghe OOD AAML 84 8 0 30 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 58 4 0 18 Jan 2023
Representing Noisy Image Without Denoising Shuren Qi Yushu Zhang Chao Wang Tao Xiang Xiaochun Cao Yong Xiang 117 1 0 18 Jan 2023
Sublinear Time Algorithms for Several Geometric Optimization (With Outliers) Problems In Machine Learning Hu Ding 140 0 0 07 Jan 2023
Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers Hu Ding Ru Huang Kai Liu Haikuo Yu Zixiu Wang 30 1 0 07 Jan 2023
Enhancement attacks in biomedical machine learning M. Rosenblatt J. Dadashkarimi D. Scheinost AAML 53 4 0 05 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 93 26 0 31 Dec 2022
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 103 81 0 29 Dec 2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 123 7 0 24 Dec 2022
A survey on text generation using generative adversarial networks Gustavo de Rosa João Paulo Papa GAN 59 92 0 20 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 73 4 0 12 Dec 2022
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors Giovanni Apruzzese V. S. Subrahmanian AAML 79 21 0 11 Dec 2022
Testing Human Ability To Detect Deepfake Images of Human Faces Sergi D. Bray Shane D. Johnson Bennett Kleinberg CVBM 98 48 0 07 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 105 19 0 05 Dec 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard Turner 61 3 0 23 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 107 20 0 17 Nov 2022
Music Instrument Classification Reprogrammed Hsin-Hung Chen Alexander Lerch 88 4 0 15 Nov 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning Ying Yuan Giovanni Apruzzese Mauro Conti AAML 77 22 0 24 Oct 2022
Exploring The Landscape of Distributional Robustness for Question Answering Models Anas Awadalla Mitchell Wortsman Gabriel Ilharco Sewon Min Ian H. Magnusson Hannaneh Hajishirzi Ludwig Schmidt ELM OOD KELM 116 21 0 22 Oct 2022
Neural Architectural Backdoors Ren Pang Changjiang Li Zhaohan Xi S. Ji Ting Wang AAML 41 0 0 21 Oct 2022
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 74 4 0 20 Oct 2022
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning Yuxin Wen Jonas Geiping Liam H. Fowl Hossein Souri Ramalingam Chellappa Micah Goldblum Tom Goldstein AAML SILM FedML 104 9 0 17 Oct 2022
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2 Pier Paolo Tricomi Lisa Facciolo Giovanni Apruzzese Mauro Conti 75 8 0 17 Oct 2022
When are Local Queries Useful for Robust Learning? Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell OOD 86 1 0 12 Oct 2022
Stable and Efficient Adversarial Training through Local Linearization Zhuorong Li Daiwei Yu AAML 32 0 0 11 Oct 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems Ru Huang Jiawei Huang Wenjie Liu Huihua Ding 88 8 0 09 Oct 2022
Explanation-by-Example Based on Item Response Theory Lucas F. F. Cardoso Joseph Ribeiro Vitor Santos R. Silva M. Mota R. Prudêncio Ronnie Cley de Oliveira Alves 87 5 0 04 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 75 13 0 02 Oct 2022
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier Mozhdeh Rouhsedaghat Masoud Monajatipoor C.-C. Jay Kuo I. Masi 77 7 0 23 Sep 2022
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models William Hackett Stefan Trawicki Zhengxin Yu N. Suri Peter Garraghan MIACV AAML 40 3 0 13 Sep 2022
Robust-by-Design Classification via Unitary-Gradient Neural Networks Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 110 5 0 09 Sep 2022
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation Houssem Ben Braiek Thomas Reid Foutse Khomh AAML 34 3 0 07 Sep 2022
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data Chathurika S. Wickramasinghe Daniel L. Marino Harindra S. Mavikumbure Victor Cobilean Timothy D. Pennington Benny J. Varghese C. Rieger Milos Manic AAML 29 16 0 05 Sep 2022
A Black-Box Attack on Optical Character Recognition Systems Samet Bayram Kenneth Barner AAML 121 5 0 30 Aug 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 91 18 0 27 Aug 2022
Black-box Attacks Against Neural Binary Function Detection Josh Bundt Michael Davinroy Ioannis Agadakos Alina Oprea William K. Robertson AAML 51 1 0 24 Aug 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 136 42 0 22 Aug 2022
Training-Time Attacks against k-Nearest Neighbors Ara Vartanian Will Rosenbaum Scott Alfeld 41 1 0 15 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP Thao Nguyen Gabriel Ilharco Mitchell Wortsman Sewoong Oh Ludwig Schmidt CLIP VLM 180 108 0 10 Aug 2022
Verifiable Encodings for Secure Homomorphic Analytics Sylvain Chatel Christian Knabenhans Apostolos Pyrgelis Carmela Troncoso Jean-Pierre Hubaux 73 19 0 28 Jul 2022
Testing the Robustness of Learned Index Structures Matthias Bachfischer Renata Borovica-Gajic Benjamin I. P. Rubinstein AAML 47 1 0 23 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 121 67 0 20 Jul 2022
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 69 4 0 19 Jul 2022
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment Ahmed Haj Yahmed Houssem Ben Braiek Foutse Khomh S. Bouzidi Rania Zaatour MQ 54 8 0 13 Jul 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 54 13 0 13 Jul 2022
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware Christian Scano Battista Biggio Fabio Roli AAML 68 8 0 12 Jul 2022
Machine Learning Security in Industry: A Quantitative Survey Kathrin Grosse L. Bieringer Tarek R. Besold Battista Biggio Katharina Krombholz 108 33 0 11 Jul 2022