Bypassing Backdoor Detection Algorithms in Deep Learning

31 May 2019

Papers citing "Bypassing Backdoor Detection Algorithms in Deep Learning"

20 / 20 papers shown

Title
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack Sze Jue Yang Q. Nguyen Chee Seng Chan Khoa D. Doan AAML DiffM 29 0 0 31 Aug 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 28 20 0 14 Feb 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data Gorka Abad Oguzhan Ersoy S. Picek A. Urbieta AAML 23 17 0 13 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 63 5 0 03 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 21 2 0 01 Feb 2023
Membership Inference Attacks Against Semantic Segmentation Models Tomás Chobola Dmitrii Usynin Georgios Kaissis MIACV 24 6 0 02 Dec 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 34 40 0 17 Oct 2022
A Survey of PPG's Application in Authentication Lin Li Chao Chen Lei Pan Leo Yu Zhang Zhifeng Wang Jun Zhang Yang Xiang 23 13 0 27 Jan 2022
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis Yu Feng Benteng Ma Jing Zhang Shanshan Zhao Yong-quan Xia Dacheng Tao AAML 34 84 0 02 Dec 2021
Backdoor Attack through Frequency Domain Tong Wang Yuan Yao Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 20 33 0 22 Nov 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 32 19 0 20 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 24 151 0 01 Aug 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 19 149 0 22 Apr 2021
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors Ren Pang Zheng-Wei Zhang Xiangshan Gao Zhaohan Xi S. Ji Peng Cheng Xiapu Luo Ting Wang AAML 27 31 0 16 Dec 2020
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 180 355 0 07 Dec 2020
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models Shangwei Guo Tianwei Zhang Han Qiu Yi Zeng Tao Xiang Yang Liu AAML 14 33 0 18 Sep 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 28 432 0 14 Apr 2020
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Erwin Quiring Konrad Rieck AAML 48 70 0 19 Mar 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 11 71 0 09 Mar 2020