Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

29 August 2017

Luis Muñoz-González

Battista Biggio

Ambra Demontis

Fabio Roli

Papers citing "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"

50 / 116 papers shown

Title
Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs Giulio Zizzo Giandomenico Cornacchia Kieran Fraser Muhammad Zaid Hameed Ambrish Rawat Beat Buesser Mark Purcell Pin-Yu Chen P. Sattigeri Kush R. Varshney AAML 43 2 0 24 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
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 30 0 0 01 Oct 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 44 5 0 02 Sep 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 Jul 2024
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking A. Abuadbba Nicholas Rhodes Kristen Moore Bushra Sabir Shuo Wang Yansong Gao AAML 35 2 0 01 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 62 8 0 25 Jun 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 45 1 0 24 May 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 32 0 0 31 Jan 2024
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 25 2 0 18 Nov 2023
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack Sze Jue Yang Q. Nguyen Chee Seng Chan Khoa D. Doan AAML DiffM 32 0 0 31 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 32 5 0 16 Aug 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He Wang Jianxin Sun Hao Wu Richang Hong 50 18 0 16 May 2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias Zhiyuan Zhang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun 36 5 0 08 May 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling Ethan Wisdom Tejas Gokhale Chaowei Xiao Yezhou Yang 26 0 0 30 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 25 3 0 03 Mar 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 31 182 0 20 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 26 18 0 03 Jan 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 32 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
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 22 7 0 04 Dec 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning Virat Shejwalkar Lingjuan Lyu Amir Houmansadr AAML 27 10 0 01 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 30 32 0 24 Oct 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 34 13 0 21 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 54 4 0 19 Oct 2022
Transferable Unlearnable Examples J. Ren Han Xu Yuxuan Wan Xingjun Ma Lichao Sun Jiliang Tang 36 36 0 18 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
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 34 40 0 17 Oct 2022
Design of secure and robust cognitive system for malware detection Sanket Shukla AAML 27 2 0 03 Aug 2022
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging Naif Alkhunaizi Dmitry Kamzolov Martin Takávc Karthik Nandakumar OOD 26 9 0 15 Jul 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems D'Jeff K. Nkashama Ariana Soltani Jean-Charles Verdier Marc Frappier Pierre-Marting Tardif F. Kabanza OOD AAML 29 5 0 25 Jun 2022
FLVoogd: Robust And Privacy Preserving Federated Learning Yuhang Tian Rui Wang Yan Qiao E. Panaousis K. Liang FedML 28 4 0 24 Jun 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 59 5 0 30 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 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
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 43 24 0 19 Apr 2022
Machine Learning Security against Data Poisoning: Are We There Yet? Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo AAML 27 35 0 12 Apr 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 38 107 0 31 Mar 2022
WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice Yunjie Ge Qianqian Wang Jingfeng Zhang Juntao Zhou Yunzhu Zhang Chao Shen AAML 22 6 0 25 Mar 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 34 32 0 22 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 25 37 0 21 Feb 2022
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems Mohamad Fazelnia I. Khokhlov Mehdi Mirakhorli AAML 18 5 0 18 Feb 2022
On the predictability in reversible steganography Ching-Chun Chang Xu Wang Sisheng Chen Hitoshi Kiya Isao Echizen 11 2 0 05 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 101 16 0 31 Jan 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 21 28 0 25 Jan 2022
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning Harrison Foley Liam H. Fowl Tom Goldstein Gavin Taylor AAML 20 9 0 03 Jan 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 34 73 0 23 Dec 2021