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Adversarial Machine Learning -- Industry Perspectives

4 February 2020

Papers citing "Adversarial Machine Learning -- Industry Perspectives"

50 / 129 papers shown

Title
On Robustness of Linear Classifiers to Targeted Data Poisoning Nakshatra Gupta Sumanth Prabhu Supratik Chakraborty R Venkatesh OOD AAML 113 0 0 16 Nov 2025
Explainable and Resilient ML-Based Physical-Layer Attack Detectors Aleksandra Knapińska Marija Furdek AAML 68 0 0 30 Sep 2025
Not All Samples Are Equal: Quantifying Instance-level Difficulty in Targeted Data Poisoning William Xu Yiwei Lu Yihan Wang Matthew Y.R. Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu 128 0 0 08 Sep 2025
Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous Ben Nassi Stav Cohen Or Yair 100 1 0 16 Aug 2025
Defending Against Beta Poisoning Attacks in Machine Learning ModelsComputer Science Symposium in Russia (CSR), 2025 Nilufer Gulciftci M. Emre Gursoy AAML 109 0 0 02 Aug 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 203 0 0 16 Jun 2025
Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation Stefano Longari Paolo Cerracchio Michele Carminati S. Zanero AAML 273 0 0 12 Jun 2025
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation Pingzhi Li Zhen Tan Huaizhi Qu Huan Liu Tianlong Chen Tianlong Chen AAML 222 3 0 26 May 2025
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Longji Xu Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 391 0 0 30 Apr 2025
The Ultimate Cookbook for Invisible Poison: Crafting Subtle Clean-Label Text Backdoors with Style Attributes Wencong You Daniel Lowd 242 1 0 24 Apr 2025
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection Jialin Lu Junjie Shan Ziqi Zhao Ka-Ho Chow AAML 353 0 0 09 Mar 2025
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation Yuzheng Wang Zhaoyu Chen Jinjie Wei Yuanhang Wang Lizhe Qi AAML 316 0 0 09 Mar 2025
Security by Design Issues in Autonomous Vehicles Martin Higgins D. N. Jha David Blundell D. Wallom 219 1 0 07 Jan 2025
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks Kevin Eykholt Farhan Ahmed Pratik Vaishnavi Amir Rahmati AAML 239 1 0 15 Oct 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep LearningAsia-Pacific Computer Systems Architecture Conference (ACSA), 2024 Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 157 2 0 15 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor DefenseNeural Information Processing Systems (NeurIPS), 2024 Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 399 8 0 13 Oct 2024
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks Isha Gupta Hidde Lycklama Emanuel Opel Evan Rose Anwar Hithnawi AAML 191 1 0 11 Oct 2024
Active Fourier Auditor for Estimating Distributional Properties of ML ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Ayoub Ajarra Bishwamittra Ghosh Debabrota Basu MLAU 283 2 0 10 Oct 2024
The poison of dimensionality Lê-Nguyên Hoang 233 3 0 25 Sep 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors Hoang Pham The-Anh Ta Anh Tran Khoa D. Doan FedML AAML 206 1 0 20 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam Debarghya Ghoshdastidar Stephan Günnemann AAML 481 5 0 15 Jul 2024
Model-agnostic clean-label backdoor mitigation in cybersecurity environments Giorgio Severi Simona Boboila J. Holodnak K. Kratkiewicz Rauf Izmailov Alina Oprea Alina Oprea AAML 316 1 0 11 Jul 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 200 0 0 10 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 319 6 0 02 Jul 2024
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest Christoforus Yoga Haryanto Minh Hieu Vu Trung Duc Nguyen Emily Lomempow Yulia Nurliana Sona Taheri 185 3 0 01 Jul 2024
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness Maayan Ehrenberg Roy Ganz Nir Rosenfeld AAML 382 2 0 17 Jun 2024
Adversarial Evasion Attack Efficiency against Large Language Models João Vitorino Eva Maia Isabel Praça AAML 170 5 0 12 Jun 2024
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack Mingli Zhu Siyuan Liang Baoyuan Wu AAML 352 23 0 25 May 2024
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial WebpagesThe Web Conference (WWW), 2024 Ying Yuan Qingying Hao Giovanni Apruzzese Mauro Conti Gang Wang AAML 183 10 0 03 Apr 2024
Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees Ehsan Nowroozi Nada Jadalla Samaneh Ghelichkhani Alireza Jolfaei AAML 195 5 0 05 Mar 2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors Yiwei Lu Matthew Y.R. Yang Gautam Kamath Yaoliang Yu AAML SILM 287 10 0 20 Feb 2024
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI Truong Thanh Hung Nguyen V. Nguyen Quoc Hung Cao Van Binh Truong Quoc Khanh Nguyen Hung Cao 172 2 0 18 Jan 2024
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study Hala Abdelkader Mohamed Abdelrazek Scott Barnett Jean-Guy Schneider Priya Rani Rajesh Vasa 218 7 0 12 Jan 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model ControlInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Ka-Ho Chow Wenqi Wei Lei Yu 310 8 0 02 Jan 2024
Attack Tree Analysis for Adversarial Evasion Attacks Yuki Yamaguchi Toshiaki Aoki AAML 207 0 0 28 Dec 2023
Manipulating Trajectory Prediction with Backdoors Kaouther Messaoud Kathrin Grosse Mickaël Chen Matthieu Cord Patrick Pérez Alexandre Alahi AAML LLMSV 177 1 0 21 Dec 2023
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey Haotian Zhang S. D. Semujju Zhicheng Wang Xianwei Lv Kang Xu ... Jing Wu Zhuo Long Zhicheng Wang Xiaoguang Ma Wensheng Liang UQCV AI4TS AI4CE 297 23 0 11 Dec 2023
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions Alexander Boudewijn Andrea Filippo Ferraris D. Panfilo Vanessa Cocca Sabrina Zinutti Karel De Schepper Carlo Rossi Chauvenet 155 7 0 29 Nov 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text ClassifiersConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Wencong You Zayd Hammoudeh Daniel Lowd AAML 152 25 0 28 Oct 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing EncodersNeural Information Processing Systems (NeurIPS), 2023 Jan Dubiñski Stanislaw Pawlak Franziska Boenisch Tomasz Trzciñski Adam Dziedzic AAML 245 8 0 12 Oct 2023
Beyond Labeling Oracles: What does it mean to steal ML models? Avital Shafran Ilia Shumailov Murat A. Erdogdu Nicolas Papernot AAML 330 5 0 03 Oct 2023
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseConference on Computer and Communications Security (CCS), 2023 Hua Ma Shang Wang Yansong Gao Zhi-Li Zhang Huming Qiu Minhui Xue A. Abuadbba Anmin Fu Surya Nepal Derek Abbott AAML 245 12 0 01 Oct 2023
Dropout AttacksIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Andrew Yuan Alina Oprea Cheng Tan 164 2 0 04 Sep 2023
Block-Wise Encryption for Reliable Vision Transformer models Hitoshi Kiya Ryota Iijima Teru Nagamori 131 4 0 15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion DetectionComputers & security (Comput. Secur.), 2023 João Vitorino Isabel Praça Eva Maia AAML 160 29 0 13 Aug 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 181 8 0 13 Aug 2023
URET: Universal Robustness Evaluation Toolkit (for Evasion)USENIX Security Symposium (USENIX Security), 2023 Kevin Eykholt Taesung Lee D. Schales Jiyong Jang Ian Molloy Masha Zorin AAML 228 8 0 03 Aug 2023
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC VideosInternational Conference on Web and Social Media (ICWSM), 2023 Anand Rai Siddharth D. Jaiswal Animesh Mukherjee 136 5 0 20 Jul 2023
The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive ContaminationIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2023 C. Canonne Samuel B. Hopkins Jungshian Li Allen Liu Shyam Narayanan AAML 197 8 0 18 Jul 2023
MLSMM: Machine Learning Security Maturity Model F. Jedrzejewski D. Fucci Oleksandr Adamov 142 0 0 28 Jun 2023