Clean Label Backdoor Attack

Clean-label backdoor attacks are a stealthy form of data poisoning where attackers manipulate training data to control model predictions without altering the labels, making detection challenging. Current research focuses on developing more effective attack strategies, including those leveraging self-supervised learning and language models, as well as exploring defenses against these attacks, such as density-based clustering and label smoothing techniques, across various model architectures and data modalities (image, text, video). The significance lies in the potential for widespread malicious manipulation of machine learning models in security-critical applications, highlighting the urgent need for robust defenses and improved model security.

Papers

September 13, 2024

Clean Label Attacks against SLU Systems
Henry Li Xinyuan, Sonal Joshi, Thomas Thebaud, Jesus Villalba, Najim Dehak, Sanjeev Khudanpur
Data Poisoning Attack Gradient Based Attack Backdoor Poisoning Attack End 2 End Clean Label Backdoor Attack Clean Label Attack

July 27, 2024

Towards Clean-Label Backdoor Attacks in the Physical World
Thinh Dao, Cuong Chi Le, Khoa D Doan, Kok-Seng Wong
Backdoor Poisoning Attack Physical World Clean Label Backdoor Attack Physical Backdoor Attack Physical Attack

July 15, 2024

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
Quang H. Nguyen, Nguyen Ngoc-Hieu, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan
Adversarial Attack Backdoor Attack Attack Success Rate Clean Label Backdoor Attack Clean Label Attack

July 11, 2024

Model-agnostic clean-label backdoor mitigation in cybersecurity environments
Giorgio Severi, Simona Boboila, John Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Michael J. De Lucia, Alina Oprea
Backdoor Defense Threat Model Training Time Attack Clean Label Backdoor Attack Clean Label Attack Label Poisoning Attack Cybersecurity Environment

June 2, 2024

Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu, Shuang Liu, Yibo Miao, Xiao-Shan Gao, Lijun Zhang
Strong Generalization Backdoor Attack Adversarial Learning Novel Algorithm Generalization Error Bound Clean Label Backdoor Attack

April 10, 2024

How to Craft Backdoors with Unlabeled Data Alone?
Yifei Wang, Wenhan Ma, Stefanie Jegelka, Yisen Wang
Self Supervised Learning Backdoor Attack Unlabeled Data Clean Label Backdoor Attack Backdoor Attacker

March 18, 2024

Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
Jingke Zhao, Zan Wang, Yongwei Wang, Lanjun Wang
Backdoor Attack Attack Success Rate Clean Label Backdoor Attack Imperceptible Pattern Label Attack

October 29, 2023

Label Poisoning is All You Need
Rishi D. Jha, Jonathan Hayase, Sewoong Oh
Backdoor Attack Clean Label Backdoor Attack Label Poisoning

October 28, 2023

Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers
Wencong You, Zayd Hammoudeh, Daniel Lowd
Adversarial Example Backdoor Attack Attack Success Rate Adversary Agent Text Classifier Clean Label Backdoor Attack Textual Backdoor Attack Clean Label Attack

August 18, 2023

DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack
Binhao Ma, Jiahui Wang, Dejun Wang, Bo Meng
Clean Label Backdoor Attack Clean Label Attack Low Budget Semiconductor Laser

July 19, 2023

Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection
Yize Cheng, Wenbin Hu, Minhao Cheng
Backdoor Attack Alignment Problem Deep Learning Based Object Clean Label Backdoor Attack Effective Backdoor Attack Object Generation Attack

May 31, 2023

Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems
Ashim Gupta, Amrith Krishna
Text Classification Clean Label Backdoor Attack Text Attack Clean Label Attack Clean Label

May 2, 2023

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Shuai Zhao, Jinming Wen, Luu Anh Tuan, Junbo Zhao, Jie Fu
Language Model Backdoor Attack Style PROMPT Prompt Based Learning Latent Vulnerability Natural Trigger Clean Label Backdoor Attack Textual Backdoor Attack

April 22, 2023

Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration
Peng Chen, Xin Du, Zhihui Lu, Hongfeng Chai
Backdoor Attack Vertical Federated Learning Clean Label Backdoor Attack Adversarial Backdoor Backdoor Behavior Edge Cloud Collaboration

April 18, 2023

BadVFL: Backdoor Attacks in Vertical Federated Learning
Mohammad Naseri, Yufei Han, Emiliano De Cristofaro
Native Robustness Backdoor Attack Vertical Federated Learning Clean Label Backdoor Attack

June 10, 2022

Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers
Nan Luo, Yuanzhang Li, Yajie Wang, Shangbo Wu, Yu-an Tan, Quanxin Zhang
Backdoor Attack Digital STEALTH Metric Clean Label Backdoor Attack Backdoor Injection

June 2, 2022

A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection
Wei Guo, Benedetta Tondi, Mauro Barni
Backdoor Attack Anti Spoofing Clean Label Backdoor Attack Replay Attack

April 11, 2022

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia
Backdoor Attack Backdoor Trigger Clean Label Backdoor Attack Limited Information Clean Label Attack Malicious Data

February 19, 2022

Label-Smoothed Backdoor Attack
Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li
Backdoor Attack Attack Success Rate Clean Label Backdoor Attack Resilient Backdoor

December 10, 2021

Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning
Yang Liu, Tianyuan Zou, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang
Homomorphic Encryption Vertical Federated Learning Clean Label Backdoor Attack Label Inference Attack Synonym Substitution Attack Batch Inference