Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

3 April 2018

Papers citing "Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks"

50 / 260 papers shown

Title
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness Zhan Hu Jun Zhu Bo Zhang Xiaolin Hu AAML 32 2 0 28 May 2023
Re-thinking Data Availablity Attacks Against Deep Neural Networks Bin Fang Bo Li Shuang Wu Ran Yi Shouhong Ding Lizhuang Ma AAML 35 0 0 18 May 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 26 3 0 17 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 30 19 0 04 Apr 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling Ethan Wisdom Tejas Gokhale Chaowei Xiao Yezhou Yang 31 0 0 30 Mar 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 38 18 0 24 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 53 5 0 19 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 37 8 0 17 Mar 2023
CUDA: Convolution-based Unlearnable Datasets Vinu Sankar Sadasivan Mahdi Soltanolkotabi S. Feizi MU 29 25 0 07 Mar 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 33 182 0 20 Feb 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 49 21 0 19 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 37 20 0 14 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 34 2 0 01 Feb 2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering Rui Zhu Di Tang Siyuan Tang Guanhong Tao Shiqing Ma Xiaofeng Wang Haixu Tang DD 23 3 0 29 Jan 2023
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models H. Aghakhani Wei Dai Andre Manoel Xavier Fernandes Anant Kharkar Christopher Kruegel Giovanni Vigna David Evans B. Zorn Robert Sim SILM 31 33 0 06 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 47 28 0 03 Jan 2023
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 26 18 0 03 Jan 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples Jiaming Zhang Xingjun Ma Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 21 24 0 31 Dec 2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 32 44 0 21 Dec 2022
Learned Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 19 2 0 20 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 38 4 0 13 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 28 6 0 06 Dec 2022
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning Marissa Connor Vincent Emanuele SILM AAML 33 1 0 05 Dec 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 32 7 0 04 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models Tomás Chobola Dmitrii Usynin Georgios Kaissis MIACV 37 6 0 02 Dec 2022
Backdoor Cleansing with Unlabeled Data Lu Pang Tao Sun Haibin Ling Chao Chen AAML 50 18 0 22 Nov 2022
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems Alessio Russo AAML 11 3 0 16 Nov 2022
Fairness-aware Regression Robust to Adversarial Attacks Yulu Jin Lifeng Lai FaML OOD 31 4 0 04 Nov 2022
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis Lukas Struppek Dominik Hintersdorf Kristian Kersting SILM 24 36 0 04 Nov 2022
Dormant Neural Trojans Feisi Fu Panagiota Kiourti Wenchao Li AAML 30 0 0 02 Nov 2022
Generative Poisoning Using Random Discriminators Dirren van Vlijmen A. Kolmus Zhuoran Liu Zhengyu Zhao Martha Larson 26 2 0 02 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 35 32 0 24 Oct 2022
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
Towards Generating Adversarial Examples on Mixed-type Data Han Xu Menghai Pan Zhimeng Jiang Huiyuan Chen Xiaoting Li Mahashweta Das Hao Yang AAML SILM 23 0 0 17 Oct 2022
Probabilistic Categorical Adversarial Attack & Adversarial Training Han Xu Penghei He Jie Ren Yuxuan Wan Zitao Liu Hui Liu Jiliang Tang AAML SILM 33 0 0 17 Oct 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 39 40 0 17 Oct 2022
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning Changjiang Li Ren Pang Zhaohan Xi Tianyu Du S. Ji Yuan Yao Ting Wang AAML 36 25 0 13 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? Yi Zeng Minzhou Pan Himanshu Jahagirdar Ming Jin Lingjuan Lyu R. Jia AAML 39 21 0 12 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
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach M. Anisetti C. Ardagna Alessandro Balestrucci Nicola Bena Ernesto Damiani C. Yeun AAML OOD 34 10 0 28 Sep 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 56 98 0 27 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 25 12 0 29 Aug 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 28 5 0 23 Aug 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN Huy Phan Cong Shi Yi Xie Tian-Di Zhang Zhuohang Li Tianming Zhao Jian-Dong Liu Yan Wang Ying-Cong Chen Bo Yuan AAML 35 6 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
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