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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
GReAT: A Graph Regularized Adversarial Training Method Samet Bayram Kenneth Barner OOD AAML 63 1 0 09 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 121 3 0 05 Oct 2023
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors Giuseppe Floris Christian Scano Maura Pintor Luca Demetrio Davide Balzarotti Battista Biggio AAML 73 7 0 04 Oct 2023
Defending Against Authorship Identification Attacks Haining Wang 56 2 0 02 Oct 2023
Out-Of-Domain Unlabeled Data Improves Generalization Amir Saberi Amir Najafi Alireza Heidari Mohammad Hosein Movasaghinia Abolfazl Motahari B. Khalaj OOD 49 0 0 29 Sep 2023
When to Trust AI: Advances and Challenges for Certification of Neural Networks Marta Kwiatkowska Xiyue Zhang AAML 186 9 0 20 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 97 3 0 19 Sep 2023
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks Yang Zheng Christian Scano Antonio Emanuele Cinà Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Battista Biggio Fabio Roli AAML 57 2 0 13 Sep 2023
The Adversarial Implications of Variable-Time Inference Dudi Biton Aditi Misra Efrat Levy J. Kotak Ron Bitton R. Schuster Nicolas Papernot Yuval Elovici Ben Nassi AAML 26 0 0 05 Sep 2023
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting Ping He Yifan Xia Xuhong Zhang Shouling Ji AAML 85 15 0 05 Sep 2023
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward A. Titus Adam Russell 89 1 0 28 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 144 3 0 20 Aug 2023
A Comparison of Adversarial Learning Techniques for Malware Detection Pavla Louthánová M. Kozák M. Jureček Mark Stamp AAML 54 2 0 19 Aug 2023
Attacking logo-based phishing website detectors with adversarial perturbations Jehyun Lee Zhe Xin Melanie Ng Pei See Kanav Sabharwal Giovanni Apruzzese D. Divakaran AAML 89 8 0 18 Aug 2023
Data-Free Model Extraction Attacks in the Context of Object Detection Harshit Shah G. Aravindhan Pavan Kulkarni Yuvaraj Govidarajulu Manojkumar Somabhai Parmar MIACV AAML 74 4 0 09 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 66 6 0 07 Aug 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness Vivek Ramanujan Thao Nguyen Sewoong Oh Ludwig Schmidt Ali Farhadi OOD 46 26 0 24 Jul 2023
Interpretability and Transparency-Driven Detection and Transformation of Textual Adversarial Examples (IT-DT) Bushra Sabir Muhammad Ali Babar Sharif Abuadbba SILM 74 10 0 03 Jul 2023
MLSMM: Machine Learning Security Maturity Model F. Jedrzejewski D. Fucci Oleksandr Adamov 59 0 0 28 Jun 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions Lukas Gosch Simon Geisler Daniel Sturm Bertrand Charpentier Daniel Zügner Stephan Günnemann AAML GNN 92 32 0 27 Jun 2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 62 0 0 26 Jun 2023
Adversarial Robustness Certification for Bayesian Neural Networks Matthew Wicker A. Patané Luca Laurenti Marta Z. Kwiatkowska AAML 78 3 0 23 Jun 2023
Geometric Algorithms for $k$ -NN Poisoning Diego Ihara Centurion Karine Chubarian Bohan Fan Francesco Sgherzi Thiruvenkadam S Radhakrishnan Anastasios Sidiropoulos Angelo Straight FedML 21 0 0 21 Jun 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming Steven Adams A. Patané Morteza Lahijanian Luca Laurenti AAML 194 7 0 19 Jun 2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks Edward Raff M. Benaroch Andrew L. Farris AAML 66 2 0 16 Jun 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 134 8 0 14 Jun 2023
Area is all you need: repeatable elements make stronger adversarial attacks D. Niederhut AAML 64 0 0 13 Jun 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 58 0 0 06 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 126 69 0 06 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Drew Linsley Pinyuan Feng Thibaut Boissin A. Ashok Thomas Fel Stephanie Olaiya Thomas Serre AAML 78 6 0 05 Jun 2023
Learning under random distributional shifts Kirk Bansak E. Paulson Dominik Rothenhäusler OOD 48 4 0 05 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 62 4 0 02 Jun 2023
Attacks on Online Learners: a Teacher-Student Analysis R. Margiotta Sebastian Goldt G. Sanguinetti AAML 75 1 0 18 May 2023
Backdoor Attack with Sparse and Invisible Trigger Yinghua Gao Yiming Li Xueluan Gong Zhifeng Li Shutao Xia Qianqian Wang AAML 109 24 0 11 May 2023
On the Security Risks of Knowledge Graph Reasoning Zhaohan Xi Tianyu Du Changjiang Li Ren Pang S. Ji Xiapu Luo Xusheng Xiao Fenglong Ma Ting Wang 59 10 0 03 May 2023
Stratified Adversarial Robustness with Rejection Jiefeng Chen Jayaram Raghuram Jihye Choi Xi Wu Yingyu Liang S. Jha 52 2 0 02 May 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 111 26 0 30 Apr 2023
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks Jingfeng Zhang Bo Song Bo Han Lei Liu Gang Niu Masashi Sugiyama AAML 77 2 0 30 Apr 2023
On the existence of solutions to adversarial training in multiclass classification Nicolas García Trillos Matt Jacobs Jakwang Kim 55 8 0 28 Apr 2023
Understanding Overfitting in Adversarial Training via Kernel Regression Teng Zhang Kang Li 56 2 0 13 Apr 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method Jianping Zhang Jen-tse Huang Wenxuan Wang Yichen Li Weibin Wu Xiaosen Wang Yuxin Su Michael R. Lyu AAML 109 52 0 28 Mar 2023
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning Thorsten Eisenhofer Erwin Quiring Jonas Moller Doreen Riepel Thorsten Holz Konrad Rieck AAML 59 6 0 25 Mar 2023
Adversarial Attacks against Binary Similarity Systems Gianluca Capozzi Daniele Cono DÉlia Giuseppe Antonio Di Luna Leonardo Querzoni AAML 58 2 0 20 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 98 11 0 17 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 119 19 0 15 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 64 1 0 11 Mar 2023
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks Yiran Li Junpeng Wang Takanori Fujiwara Kwan-Liu Ma AAML 34 6 0 06 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun Zico Kolter AAML 64 13 0 01 Mar 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 102 2 0 17 Feb 2023
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 85 60 0 08 Feb 2023