Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

3 April 2018

Papers citing "Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks"

50 / 258 papers shown

Title
Sybil-based Virtual Data Poisoning Attacks in Federated Learning Changxun Zhu Qilong Wu Lingjuan Lyu Shibei Xue AAML FedML 28 0 0 15 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 77 0 0 06 May 2025
Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images Siddharth Kothari Srinivasan Murali Sankalp Kothari Ujjwal Verma Jaya Sreevalsan-Nair 57 0 0 03 May 2025
FFCBA: Feature-based Full-target Clean-label Backdoor Attacks Yangxu Yin H. Chen Yudong Gao Peng Sun Liantao Wu Zehan Li Wen Liu AAML 51 0 0 29 Apr 2025
Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Jonas Henry Grebe Tobias Braun Marcus Rohrbach Anna Rohrbach AAML 85 0 0 29 Apr 2025
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks Yangxu Yin H. Chen Yudong Gao Peng Sun Zehan Li Wen Liu AAML 45 0 0 29 Apr 2025
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts Qingyue Wang Qi Pang Xixun Lin Shuai Wang Daoyuan Wu MoE 64 0 0 24 Apr 2025
Poisoned Source Code Detection in Code Models Ehab Ghannoum Mohammad Ghafari AAML 72 0 0 19 Feb 2025
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models Isha Gupta David Khachaturov Robert D. Mullins AAML AuLLM 69 2 0 02 Feb 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Joachim Baumann Celestine Mendler-Dünner 91 3 0 17 Jan 2025
A Backdoor Attack Scheme with Invisible Triggers Based on Model Architecture Modification Yuan Ma Xu Ma Jiankang Wei Jinmeng Tang Xiaoyu Zhang Yilun Lyu Kehao Chen Jingtong Huang 90 0 0 22 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval Tingwei Zhang Fnu Suya Rishi Jha Collin Zhang Vitaly Shmatikov AAML 90 1 0 18 Dec 2024
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 56 1 0 17 Nov 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 61 1 0 07 Oct 2024
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 35 0 0 01 Oct 2024
Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition Weida Xu Yang Xu Sicong Zhang FedML AAML 44 0 0 25 Aug 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 63 0 0 23 Jul 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 47 9 0 22 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 68 1 0 13 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 35 1 0 11 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 64 8 0 25 Jun 2024
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain Lei Xu Yulong Chen Yuntian Chen Longfeng Nie Xuetao Wei Liang Xue Dongxiao Zhang 27 0 0 07 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 69 0 0 03 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 56 1 0 01 Jun 2024
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 31 0 0 28 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 34 0 0 24 May 2024
The Mosaic Memory of Large Language Models Igor Shilov Matthieu Meeus Yves-Alexandre de Montjoye 49 3 0 24 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
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 42 14 0 21 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Manipulating Predictions over Discrete Inputs in Machine Teaching Xiaodong Wu Yufei Han H. Dahrouj Jianbing Ni Zhenwen Liang Xiangliang Zhang 23 0 0 31 Jan 2024
End-to-End Anti-Backdoor Learning on Images and Time Series Yujing Jiang Xingjun Ma S. Erfani Yige Li James Bailey 40 1 0 06 Jan 2024
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 40 6 0 14 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 52 2 0 07 Dec 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 25 2 0 18 Nov 2023
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models Jiong Wang Junlin Wu Muhao Chen Yevgeniy Vorobeychik Chaowei Xiao AAML 29 13 0 16 Nov 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 28 3 0 15 Nov 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 59 8 0 25 Oct 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm S. M. Fazle J. Mondal Meem Arafat Manab Xi Xiao Sarfaraz Newaz AAML 29 0 0 18 Oct 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 37 5 0 16 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 26 3 0 15 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 32 9 0 08 Aug 2023
Exposing Hidden Attackers in Industrial Control Systems using Micro-distortions S. Sourav Binbin Chen AAML 18 4 0 29 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 31 20 0 18 Jul 2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives Daniele Lunghi A. Simitsis O. Caelen Gianluca Bontempi AAML FaML 48 4 0 03 Jul 2023
On the Exploitability of Instruction Tuning Manli Shu Jiong Wang Chen Zhu Jonas Geiping Chaowei Xiao Tom Goldstein SILM 47 92 0 28 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 28 11 0 21 Jun 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 43 4 0 02 Jun 2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness Zhan Hu Jun Zhu Bo Zhang Xiaolin Hu AAML 32 2 0 28 May 2023