ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks

1 July 2020

Papers citing "ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks"

10 / 10 papers shown

Title
AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment Pankayaraj Pathmanathan Udari Madhushani Sehwag Michael-Andrei Panaitescu-Liess Furong Huang SILM AAML 43 0 0 15 Oct 2024
Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition Wenhan Yao Jiangkun Yang yongqiang He Jia Liu Weiping Wen 44 1 0 16 Jun 2024
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 36 11 0 13 Jun 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 45 6 0 20 Jan 2023
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences Shang Wang Yansong Gao Anmin Fu Zhi-Li Zhang Yuqing Zhang W. Susilo Dongxi Liu AAML 29 10 0 31 May 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 21 28 0 25 Jan 2022
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 25 57 0 25 Nov 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers Stefanos Koffas Jing Xu Mauro Conti S. Picek AAML 17 66 0 30 Jul 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016