BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

22 August 2017

Papers citing "BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain"

50 / 381 papers shown

Title
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 33 4 0 20 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 56 5 0 19 Oct 2022
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning Yuxin Wen Jonas Geiping Liam H. Fowl Hossein Souri Ramalingam Chellappa Micah Goldblum Tom Goldstein AAML SILM FedML 30 9 0 17 Oct 2022
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 41 26 0 17 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 32 22 0 14 Oct 2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 26 5 0 12 Oct 2022
Visual Prompting for Adversarial Robustness Aochuan Chen P. Lorenz Yuguang Yao Pin-Yu Chen Sijia Liu VLM VPVLM 40 32 0 12 Oct 2022
Detecting Backdoors in Deep Text Classifiers Youyan Guo Jun Wang Trevor Cohn SILM 42 1 0 11 Oct 2022
On Optimal Learning Under Targeted Data Poisoning Steve Hanneke Amin Karbasi Mohammad Mahmoody Idan Mehalel Shay Moran AAML FedML 36 7 0 06 Oct 2022
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints Minghui Li Wei Wan Jianrong Lu Shengshan Hu Junyu Shi L. Zhang Man Zhou Yifeng Zheng FedML 30 6 0 04 Oct 2022
BadRes: Reveal the Backdoors through Residual Connection Min He Tianyu Chen Haoyi Zhou Shanghang Zhang Jianxin Li 24 0 0 15 Sep 2022
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe Yuhang Wang Huafeng Shi Rui Min Ruijia Wu Siyuan Liang Yichao Wu Ding Liang Aishan Liu AAML 45 7 0 12 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 64 16 0 07 Sep 2022
An Adaptive Black-box Defense against Trojan Attacks (TrojDef) Guanxiong Liu Abdallah Khreishah Fatima Sharadgah Issa M. Khalil AAML 33 8 0 05 Sep 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 22 12 0 29 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 38 24 0 22 Aug 2022
An anomaly detection approach for backdoored neural networks: face recognition as a case study A. Unnervik S´ebastien Marcel AAML 29 4 0 22 Aug 2022
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models Yulong Wang Minghui Zhao Shenghong Li Xinnan Yuan W. Ni 18 15 0 19 Aug 2022
Neural network fragile watermarking with no model performance degradation Z. Yin Heng Yin Xinpeng Zhang AAML 27 18 0 16 Aug 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks Tianwei Liu Yu Yang Baharan Mirzasoleiman AAML 39 27 0 14 Aug 2022
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons Mingyuan Fan Yang Liu Cen Chen Ximeng Liu Wenzhong Guo AAML 21 4 0 13 Aug 2022
FRIB: Low-poisoning Rate Invisible Backdoor Attack based on Feature Repair Hui Xia Xiugui Yang X. Qian Rui Zhang AAML 32 0 0 26 Jul 2022
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter Dilara Doğan Bahadir Altun Muhammed Said Zengin Mucahid Kutlu Tamer Elsayed 26 2 0 23 Jul 2022
Backdoor Attacks on Crowd Counting Yuhua Sun Tailai Zhang Xingjun Ma Pan Zhou Jian Lou Zichuan Xu Xing Di Yu Cheng Lichao AAML 19 15 0 12 Jul 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 25 122 0 12 Jul 2022
Defense Against Multi-target Trojan Attacks Haripriya Harikumar Santu Rana Kien Do Sunil R. Gupta W. Zong Willy Susilo Svetha Venkatesh AAML 34 3 0 08 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 43 57 0 02 Jul 2022
FLVoogd: Robust And Privacy Preserving Federated Learning Yuhang Tian Rui Wang Yan Qiao E. Panaousis K. Liang FedML 28 4 0 24 Jun 2022
Natural Backdoor Datasets Emily Wenger Roma Bhattacharjee A. Bhagoji Josephine Passananti Emilio Andere Haitao Zheng Ben Y. Zhao AAML 35 4 0 21 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 49 36 0 21 Jun 2022
Backdoor Attacks on Vision Transformers Akshayvarun Subramanya Aniruddha Saha Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash ViT AAML 21 16 0 16 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 27 20 0 16 Jun 2022
Architectural Backdoors in Neural Networks Mikel Bober-Irizar Ilia Shumailov Yiren Zhao Robert D. Mullins Nicolas Papernot AAML 25 23 0 15 Jun 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 52 8 0 14 Jun 2022
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers Nan Luo Yuan-zhang Li Yajie Wang Shan-Hung Wu Yu-an Tan Quan-xin Zhang AAML 20 11 0 10 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 39 2 0 08 Jun 2022
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 31 10 0 31 May 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 59 5 0 30 May 2022
BadDet: Backdoor Attacks on Object Detection Shih-Han Chan Yinpeng Dong Junyi Zhu Xiaolu Zhang Jun Zhou AAML 30 56 0 28 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 136 97 0 26 May 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 73 46 0 25 May 2022
Verifying Neural Networks Against Backdoor Attacks Long H. Pham Jun Sun AAML 26 5 0 14 May 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 33 34 0 13 May 2022
Imperceptible Backdoor Attack: From Input Space to Feature Representation Nan Zhong Zhenxing Qian Xinpeng Zhang AAML 25 52 0 06 May 2022
Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering Lukas Schulth Christian Berghoff Matthias Neu AAML 25 5 0 27 Apr 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios Dazhong Rong Qinming He Jianhai Chen FedML 27 41 0 26 Apr 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 43 24 0 19 Apr 2022
Machine Learning Security against Data Poisoning: Are We There Yet? Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo AAML 32 35 0 12 Apr 2022