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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
Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices Lu Zhang S. Lambotharan G. Zheng G. Liao Basil AsSadhan Fabio Roli AAML 13 7 0 13 Jun 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 31 0 0 28 May 2025
MultiPhishGuard: An LLM-based Multi-Agent System for Phishing Email Detection Yinuo Xue Eric Spero Yun Sing Koh Giovanni Russello AAML 26 1 0 26 May 2025
The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning Advije Rizvani Giovanni Apruzzese Pavel Laskov AAML 128 0 0 15 May 2025
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems Mostafa Jafari Alireza Shameli-Sendi AAML 51 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 314 0 0 02 Apr 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 111 0 0 20 Mar 2025
Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection Tianwei Lan Luca Demetrio Farid Nait-Abdesselam Yufei Han Simone Aonzo AAML 123 0 0 14 Mar 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 70 0 0 06 Mar 2025
Poisoning Bayesian Inference via Data Deletion and Replication Matthieu Carreau Roi Naveiro William N. Caballero AAML KELM 93 1 0 06 Mar 2025
LTL Verification of Memoryful Neural Agents Mehran Hosseini A. Lomuscio Nicola Paoletti LLMAG 85 0 0 04 Mar 2025
The Cyber Immune System: Harnessing Adversarial Forces for Security Resilience Krti Tallam 58 3 0 24 Feb 2025
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning Avinandan Bose Laurent Lessard Maryam Fazel Krishnamurthy Dvijotham AAML 71 0 0 23 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 184 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 105 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 510 0 0 31 Jan 2025
PRISMe: A Novel LLM-Powered Tool for Interactive Privacy Policy Assessment Vincent Freiberger Arthur Fleig Erik Buchmann 86 2 0 28 Jan 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro Shouling Ji AAML 209 0 0 23 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 218 1 0 20 Jan 2025
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based Selection Somrita Ghosh Yuelin Xu Xiao Zhang AAML OOD 83 0 0 15 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 179 0 0 04 Jan 2025
Emerging Security Challenges of Large Language Models Herve Debar Sven Dietrich Pavel Laskov Emil C. Lupu Eirini Ntoutsi ELM 34 2 0 23 Dec 2024
Position: A taxonomy for reporting and describing AI security incidents L. Bieringer Kevin Paeth Andreas Wespi Kathrin Grosse Alexandre Alahi Kathrin Grosse 160 0 0 19 Dec 2024
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures Shalini Saini Anitha Chennamaneni Babatunde Sawyerr AAML 112 1 0 18 Dec 2024
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs Aniket K. Singh Debasis Chaudhuri Manish P. Singh Samiran Chattopadhyay 107 0 0 02 Dec 2024
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 75 0 0 12 Nov 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 88 0 0 06 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 139 1 0 29 Oct 2024
Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra Bishwamittra Ghosh Debabrota Basu MLAU 119 2 0 10 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 113 5 0 07 Oct 2024
The poison of dimensionality Lê-Nguyên Hoang 77 2 0 25 Sep 2024
UTrace: Poisoning Forensics for Private Collaborative Learning Evan Rose Hidde Lycklama Harsh Chaudhari Anwar Hithnawi Alina Oprea 69 1 0 23 Sep 2024
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration Hanyi Hu Qiao Han Kui Chen Yao Yang AAML 64 0 0 18 Sep 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 238 1 0 08 Sep 2024
Backdoor Defense through Self-Supervised and Generative Learning Ivan Sabolić Ivan Grubišić Siniša Šegvić AAML 113 0 0 02 Sep 2024
Revisiting Min-Max Optimization Problem in Adversarial Training Sina Hajer Ahmadi Hassan Bahrami AAML 63 0 0 20 Aug 2024
Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms Francesco Villani Dario Lazzaro Antonio Emanuele Cinà Matteo DellÁmico Battista Biggio Fabio Roli 94 1 0 14 Aug 2024
Enhancing TinyML Security: Study of Adversarial Attack Transferability Parin Shah Yuvaraj Govindarajulu Pavan Kulkarni Manojkumar Somabhai Parmar AAML 98 1 0 16 Jul 2024
Does Refusal Training in LLMs Generalize to the Past Tense? Maksym Andriushchenko Nicolas Flammarion 140 36 0 16 Jul 2024
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation D'Jeff K. Nkashama Jordan Masakuna Félicien Arian Soltani Jean-Charles Verdier Pierre Martin Tardif Marc Frappier F. Kabanza AAML 88 1 0 11 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 88 0 0 11 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends Daizong Liu Mingyu Yang Xiaoye Qu Pan Zhou Yu Cheng Wei Hu ELM AAML 108 32 0 10 Jul 2024
Data Poisoning Attacks in Intelligent Transportation Systems: A Survey Feilong Wang Xin Wang X. Ban AAML 58 11 0 06 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 76 26 0 10 Jun 2024
Certified Robustness to Data Poisoning in Gradient-Based Training Philip Sosnin Mark N. Müller Maximilian Baader Calvin Tsay Matthew Wicker AAML SILM 114 8 0 09 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 66 0 0 06 Jun 2024
Verifiably Robust Conformal Prediction Linus Jeary Tom Kuipers Mehran Hosseini Nicola Paoletti AAML 89 6 0 29 May 2024
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack Mingli Zhu Siyuan Liang Baoyuan Wu AAML 119 18 0 25 May 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 76 2 0 24 May 2024
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection Marco Rando Christian Scano Lorenzo Rosasco Fabio Roli AAML 68 2 0 23 May 2024