Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks

19 March 2018

Papers citing "Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks"

50 / 132 papers shown

Title
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning Phung Lai Guanxiong Liu Hai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu FedML 36 0 0 17 Apr 2025
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Michael-Andrei Panaitescu-Liess Yigitcan Kaya Sicheng Zhu Furong Huang Tudor Dumitras AAML 37 0 0 02 Apr 2025
Data Poisoning in Deep Learning: A Survey Pinlong Zhao Weiyao Zhu Pengfei Jiao Di Gao Ou Wu AAML 39 0 0 27 Mar 2025
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models Michael-Andrei Panaitescu-Liess Pankayaraj Pathmanathan Yigitcan Kaya Zora Che Bang An Sicheng Zhu Aakriti Agrawal Furong Huang AAML 59 0 0 10 Mar 2025
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 27 2 0 20 Aug 2024
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification Boyang Zhang Yicong Tan Yun Shen Ahmed Salem Michael Backes Savvas Zannettou Yang Zhang LLMAG AAML 44 14 0 30 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam D. Ghoshdastidar Stephan Günnemann AAML 38 3 0 15 Jul 2024
Dye4AI: Assuring Data Boundary on Generative AI Services Shu Wang Kun Sun Yan Zhai 34 1 0 20 Jun 2024
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation Harsh Chaudhari Giorgio Severi John Abascal Matthew Jagielski Christopher A. Choquette-Choo Milad Nasr Cristina Nita-Rotaru Alina Oprea SILM AAML 72 28 0 30 May 2024
Defending against Data Poisoning Attacks in Federated Learning via User Elimination Nick Galanis AAML 31 2 0 19 Apr 2024
Algorithmic Complexity Attacks on Dynamic Learned Indexes Rui Yang Evgenios M. Kornaropoulos Yue Cheng AAML 39 2 0 19 Mar 2024
Diffusion Denoising as a Certified Defense against Clean-label Poisoning Sanghyun Hong Nicholas Carlini Alexey Kurakin DiffM 45 3 0 18 Mar 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning Mathilde Raynal Carmela Troncoso 27 2 0 21 Feb 2024
Preference Poisoning Attacks on Reward Model Learning Junlin Wu Jiong Wang Chaowei Xiao Chenguang Wang Ning Zhang Yevgeniy Vorobeychik AAML 24 5 0 02 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 17 0 0 31 Jan 2024
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks Yuyang Zhou Guang Cheng Zongyao Chen Shui Yu AAML 33 4 0 11 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 60 3 0 20 Nov 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 20 3 0 15 Nov 2023
Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks Ehsan Nowroozi Samaneh Ghelichkhani Imran Haider Ali Dehghantanha AAML 21 0 0 26 Oct 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts Yixin Wu Ning Yu Michael Backes Yun Shen Yang Zhang DiffM 51 8 0 25 Oct 2023
RAI4IoE: Responsible AI for Enabling the Internet of Energy Minhui Xue Surya Nepal Ling Liu Subbu Sethuvenkatraman Xingliang Yuan Carsten Rudolph Ruoxi Sun Greg Eisenhauer 29 4 0 20 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 18 11 0 05 Sep 2023
Dropout Attacks Andrew Yuan Alina Oprea Cheng Tan 17 0 0 04 Sep 2023
Systematic Testing of the Data-Poisoning Robustness of KNN Yannan Li Jingbo Wang Chao Wang AAML OOD 24 6 0 17 Jul 2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability Marco Alecci Mauro Conti Francesco Marchiori L. Martinelli Luca Pajola AAML 24 7 0 27 Jun 2023
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks Daniel Gibert Jordi Planes Quan Le Giulio Zizzo AAML 30 8 0 16 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 16 4 0 06 Jun 2023
Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights Jay Jacobs Sasha Romanosky Octavian Suciuo Benjamin Edwards Armin Sarabi 11 17 0 27 Feb 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 48 17 0 22 Feb 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models Shawn Shan Jenna Cryan Emily Wenger Haitao Zheng Rana Hanocka Ben Y. Zhao WIGM 12 176 0 08 Feb 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 32 0 0 28 Dec 2022
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 19 44 0 21 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 28 6 0 06 Dec 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks Naoya Tezuka H. Ochiai Yuwei Sun Hiroshi Esaki AAML 29 4 0 07 Nov 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 44 4 0 19 Oct 2022
Characterizing Internal Evasion Attacks in Federated Learning Taejin Kim Shubhranshu Singh Nikhil Madaan Carlee Joe-Wong FedML 26 9 0 17 Sep 2022
Federated Learning based on Defending Against Data Poisoning Attacks in IoT Jiayin Li Wenzhong Guo Xingshuo Han Jianping Cai Ximeng Liu AAML 72 1 0 14 Sep 2022
SNAP: Efficient Extraction of Private Properties with Poisoning Harsh Chaudhari John Abascal Alina Oprea Matthew Jagielski Florian Tramèr Jonathan R. Ullman MIACV 34 30 0 25 Aug 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Ali Raza Shujun Li K. Tran L. Koehl Kim Duc Tran AAML 25 3 0 18 Jul 2022
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning Harsh Chaudhari Matthew Jagielski Alina Oprea 25 7 0 20 May 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 25 34 0 13 May 2022
VPN: Verification of Poisoning in Neural Networks Youcheng Sun Muhammad Usman D. Gopinath C. Păsăreanu AAML 23 2 0 08 May 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 30 106 0 31 Mar 2022
Robustly-reliable learners under poisoning attacks Maria-Florina Balcan Avrim Blum Steve Hanneke Dravyansh Sharma AAML OOD 18 14 0 08 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 21 1 0 04 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 49 42 0 18 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 16 5 0 15 Feb 2022
Privacy protection based on mask template Hao Wang Yunkun Bai Guangmin Sun Jie Liu PICV 9 0 0 13 Feb 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers Limin Yang Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang AAML 18 35 0 11 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 15 2 0 07 Feb 2022