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

8 December 2017

Battista Biggio

Fabio Roli

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

50 / 210 papers shown

Title
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems Mostafa Jafari Alireza Shameli-Sendi AAML 26 0 0 14 May 2025
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 89 0 0 02 Apr 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play Ching-Chun Chang Fan-Yun Chen Shih-Hong Gu Kai Gao Hanrui Wang Isao Echizen AAML 191 0 0 31 Jan 2025
PRISMe: A Novel LLM-Powered Tool for Interactive Privacy Policy Assessment Vincent Freiberger Arthur Fleig Erik Buchmann 50 2 0 28 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 109 0 0 20 Jan 2025
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50 Umesh Yadav Suman Niraula Gaurav Kumar Gupta Bicky Yadav SILM 42 0 0 04 Jan 2025
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 78 0 0 19 Dec 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures Xinheng Xie Kureha Yamaguchi Margaux Leblanc Simon Malzard Varun Chhabra Victoria Nockles Yue-bo Wu AAML 37 0 0 08 Sep 2024
Does Refusal Training in LLMs Generalize to the Past Tense? Maksym Andriushchenko Nicolas Flammarion 50 27 0 16 Jul 2024
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection Shenao Yan Shen Wang Yue Duan Hanbin Hong Kiho Lee Doowon Kim Yuan Hong AAML SILM 43 17 0 10 Jun 2024
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines Andrea Ponte Dmitrijs Trizna Luca Demetrio Battista Biggio Ivan Tesfai Ogbu Fabio Roli 49 0 0 23 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Luca Demetrio Dmitrijs Trizna Fabio Roli AAML 39 0 0 04 May 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Luca Demetrio Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 44 8 0 30 Apr 2024
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks Maksym Andriushchenko Francesco Croce Nicolas Flammarion AAML 97 160 0 02 Apr 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng Xiaoyong Chen Jiaming Liang Huisi Wu Guangzhong Cao Yong Guo AAML 39 4 0 29 Mar 2024
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices Xueshuo Xie Haoxu Wang Zhaolong Jian Tao Li Wei Wang Zhiwei Xu Gui-Ping Wang 41 2 0 19 Mar 2024
Manipulating hidden-Markov-model inferences by corrupting batch data William N. Caballero Jose Manuel Camacho Tahir Ekin Roi Naveiro AAML 18 1 0 19 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 33 6 0 06 Feb 2024
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version) Zeliang Kan Shae McFadden Daniel Arp Feargus Pendlebury Roberto Jordaney Johannes Kinder Fabio Pierazzi Lorenzo Cavallaro 22 1 0 02 Feb 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 27 117 0 08 Dec 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 25 2 0 18 Nov 2023
When to Trust AI: Advances and Challenges for Certification of Neural Networks Marta Kwiatkowska Xiyue Zhang AAML 37 8 0 20 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 35 2 0 19 Sep 2023
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward A. Titus Adam Russell 36 1 0 28 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 34 3 0 20 Aug 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 32 8 0 14 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 44 25 0 30 Apr 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 26 6 0 25 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 32 8 0 17 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 38 1 0 11 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun Zico Kolter AAML 23 12 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 16 2 0 17 Feb 2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers Hugo Lemarchant Liang Li Yiming Qian Yuta Nakashima Hajime Nagahara ViT AAML 43 0 0 31 Jan 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark J. F. Gales AAML 33 3 0 30 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 21 24 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 31 75 0 29 Dec 2022
A survey on text generation using generative adversarial networks Gustavo de Rosa João Paulo Papa GAN 32 89 0 20 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 42 4 0 12 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 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 24 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 27 20 0 17 Nov 2022
Music Instrument Classification Reprogrammed Hsin-Hung Chen Alexander Lerch 24 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 23 19 0 24 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 30 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 31 7 0 17 Oct 2022
When are Local Queries Useful for Robust Learning? Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell OOD 37 1 0 12 Oct 2022