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Defending Neural Backdoors via Generative Distribution Modeling

10 October 2019

Papers citing "Defending Neural Backdoors via Generative Distribution Modeling"

50 / 107 papers shown

Title
BagFlip: A Certified Defense against Data Poisoning Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 76 24 0 26 May 2022
On Collective Robustness of Bagging Against Data Poisoning Ruoxin Chen Zenan Li Jie Li Chentao Wu Junchi Yan 100 23 0 26 May 2022
Model-Contrastive Learning for Backdoor Defense Zhihao Yue Jun Xia Zhiwei Ling Ming Hu Ting Wang Xian Wei Mingsong Chen AAML 50 3 0 09 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 51 7 0 08 May 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Sebastiano Vascon Werner Zellinger Bernhard A. Moser Alina Oprea Battista Biggio Marcello Pelillo Fabio Roli AAML 93 127 0 04 May 2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering Kien Do Haripriya Harikumar Hung Le D. Nguyen T. Tran Santu Rana Dang Nguyen Willy Susilo Svetha Venkatesh AAML 58 13 0 24 Feb 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 76 26 0 15 Feb 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 71 194 0 05 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations Weiqi Peng Jinghui Chen AAML 67 5 0 03 Feb 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 110 29 0 25 Jan 2022
Backdoor Defense with Machine Unlearning Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 83 79 0 24 Jan 2022
A General Framework for Defending Against Backdoor Attacks via Influence Graph Xiaofei Sun Jiwei Li Xiaoya Li Ziyao Wang Tianwei Zhang Han Qiu Leilei Gan Chun Fan AAML TDI 74 5 0 29 Nov 2021
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences Wei Guo B. Tondi Mauro Barni AAML 110 69 0 16 Nov 2021
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks Yukun Yang Peng Li 74 3 0 14 Nov 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 119 290 0 27 Oct 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 89 14 0 12 Sep 2021
Poison Ink: Robust and Invisible Backdoor Attack Jie Zhang Dongdong Chen Qidong Huang Jing Liao Weiming Zhang Huamin Feng G. Hua Nenghai Yu AAML 78 90 0 05 Aug 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Leilei Gan Jiwei Li Tianwei Zhang AAML SILM 103 52 0 03 Jun 2021
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations Mingfu Xue Yinghao Wu Zhiyu Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 54 12 0 29 May 2021
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger Fanchao Qi Mukai Li Yangyi Chen Zhengyan Zhang Zhiyuan Liu Yasheng Wang Maosong Sun SILM 91 235 0 26 May 2021
Hidden Backdoors in Human-Centric Language Models Shaofeng Li Hui Liu Tian Dong Benjamin Zi Hao Zhao Minhui Xue Haojin Zhu Jialiang Lu SILM 112 154 0 01 May 2021
MISA: Online Defense of Trojaned Models using Misattributions Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 56 10 0 29 Mar 2021
Black-box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong Xiao Yang Zhijie Deng Tianyu Pang Zihao Xiao Hang Su Jun Zhu AAML 91 114 0 24 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry Yingqi Liu Guangyu Shen Guanhong Tao Zhenting Wang Shiqing Ma Xinming Zhang AAML 97 8 0 16 Mar 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization Guangyu Shen Yingqi Liu Guanhong Tao Shengwei An Qiuling Xu Shuyang Cheng Shiqing Ma Xinming Zhang AAML 126 119 0 09 Feb 2021
On Provable Backdoor Defense in Collaborative Learning Ximing Qiao Yuhua Bai S. Hu Ang Li Yiran Chen H. Li AAML FedML 20 1 0 19 Jan 2021
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space Shihao Zhao Xingjun Ma Yisen Wang James Bailey Yue Liu Yu-Gang Jiang AAML 66 15 0 18 Jan 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Yige Li Lingjuan Lyu Nodens Koren X. Lyu Yue Liu Xingjun Ma AAML FedML 124 441 0 15 Jan 2021
Explainability Matters: Backdoor Attacks on Medical Imaging Munachiso Nwadike Takumi Miyawaki Esha Sarkar Michail Maniatakos Farah E. Shamout AAML 70 14 0 30 Dec 2020
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification Shuyang Cheng Yingqi Liu Shiqing Ma Xinming Zhang AAML 103 160 0 21 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild Basel Alomair Aleksander Madry Yue Liu Tom Goldstein SILM 129 282 0 18 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 97 195 0 13 Dec 2020
Invisible Backdoor Attack with Sample-Specific Triggers Yuezun Li Yiming Li Baoyuan Wu Longkang Li Ran He Siwei Lyu AAML DiffM 109 495 0 07 Dec 2020
Detecting Trojaned DNNs Using Counterfactual Attributions Karan Sikka Indranil Sur Susmit Jha Anirban Roy Ajay Divakaran AAML 38 13 0 03 Dec 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks Thai Le Noseong Park Dongwon Lee 167 24 0 20 Nov 2020
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks Fanchao Qi Yangyi Chen Mukai Li Yuan Yao Zhiyuan Liu Maosong Sun AAML 109 283 0 20 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 74 14 0 04 Nov 2020
On Evaluating Neural Network Backdoor Defenses A. Veldanda S. Garg AAML 77 8 0 23 Oct 2020
Poisoned classifiers are not only backdoored, they are fundamentally broken Mingjie Sun Siddhant Agarwal J. Zico Kolter 61 26 0 18 Oct 2020
Embedding and Extraction of Knowledge in Tree Ensemble Classifiers Wei Huang Xingyu Zhao Xiaowei Huang AAML 68 11 0 16 Oct 2020
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks Ruoxin Chen Jie Li Chentao Wu Bin Sheng Ping Li AAML 61 12 0 18 Sep 2020
One-pixel Signature: Characterizing CNN Models for Backdoor Detection Shanjiaoyang Huang Weiqi Peng Zhiwei Jia Zhuowen Tu 58 64 0 18 Aug 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 127 233 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 176 614 0 17 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 97 14 0 16 Jul 2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion R. Schuster Congzheng Song Eran Tromer Vitaly Shmatikov SILM AAML 141 160 0 05 Jul 2020
Natural Backdoor Attack on Text Data Lichao Sun SILM 81 41 0 29 Jun 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 43 14 0 26 Jun 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 126 205 0 25 Jun 2020
FaceHack: Triggering backdoored facial recognition systems using facial characteristics Esha Sarkar Hadjer Benkraouda Michail Maniatakos AAML 78 39 0 20 Jun 2020