Generative Poisoning Attack Method Against Neural Networks

3 March 2017

Yiran Chen

Papers citing "Generative Poisoning Attack Method Against Neural Networks"

49 / 99 papers shown

Title
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? Antonio Emanuele Cinà Sebastiano Vascon Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo AAML 32 9 0 23 Mar 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 48 0 09 Feb 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 0 13 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song Aleksander Madry Bo Li Tom Goldstein SILM 32 271 0 18 Dec 2020
Backdoor Attacks on the DNN Interpretation System Shihong Fang A. Choromańska FAtt AAML 29 19 0 21 Nov 2020
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks Lubin Meng Jian Huang Zhigang Zeng Xue Jiang Shan Yu T. Jung Chin-Teng Lin Ricardo Chavarriaga Dongrui Wu AAML 26 35 0 30 Oct 2020
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers T. Shapira David Berend Ishai Rosenberg Yang Liu A. Shabtai Yuval Elovici AAML 27 4 0 30 Oct 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 36 33 0 19 Sep 2020
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing William J. Buchanan Muhammad Ali Imran M. Rehman Lei Zhang Q. Abbasi C. Chrysoulas D. Haynes Nikolaos Pitropakis Pavlos Papadopoulos 8 14 0 10 Sep 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 34 49 0 02 Sep 2020
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks Jinyuan Jia Xiaoyu Cao Neil Zhenqiang Gong SILM 24 128 0 11 Aug 2020
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations Jonathan Pan AAML 14 3 0 02 Aug 2020
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures Evgenios M. Kornaropoulos Silei Ren R. Tamassia AAML 23 17 0 01 Aug 2020
Towards Class-Oriented Poisoning Attacks Against Neural Networks Bingyin Zhao Yingjie Lao SILM AAML 9 18 0 31 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 31 640 0 16 Jul 2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion R. Schuster Congzheng Song Eran Tromer Vitaly Shmatikov SILM AAML 27 150 0 05 Jul 2020
Model-Targeted Poisoning Attacks with Provable Convergence Fnu Suya Saeed Mahloujifar Anshuman Suri David Evans Yuan Tian AAML 17 5 0 30 Jun 2020
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models Jialin Wen Benjamin Zi Hao Zhao Minhui Xue Alina Oprea Hai-feng Qian AAML 16 19 0 21 Jun 2020
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces Chaofei Yang Lei Ding Yiran Chen H. Li AAML 27 46 0 12 Jun 2020
Adversarial Machine Learning in Network Intrusion Detection Systems Elie Alhajjar P. Maxwell Nathaniel D. Bastian GAN SILM AAML 12 137 0 23 Apr 2020
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks Junfeng Guo Zelun Kong Cong Liu AAML 35 1 0 24 Mar 2020
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Bo Li AAML 24 161 0 19 Mar 2020
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models Shawn Shan Emily Wenger Jiayun Zhang Huiying Li Haitao Zheng Ben Y. Zhao PICV MU 32 24 0 19 Feb 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld Ezra Winston Pradeep Ravikumar J. Zico Kolter OOD AAML 10 155 0 07 Feb 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 6 38 0 14 Jan 2020
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 19 103 0 10 Jan 2020
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic Zhen Xiang David J. Miller Hang Wang G. Kesidis AAML 34 9 0 18 Nov 2019
Detecting AI Trojans Using Meta Neural Analysis Xiaojun Xu Qi Wang Huichen Li Nikita Borisov Carl A. Gunter Bo Li 43 321 0 08 Oct 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 26 18 0 27 Sep 2019
On Defending Against Label Flipping Attacks on Malware Detection Systems R. Taheri R. Javidan Mohammad Shojafar Zahra Pooranian A. Miri Mauro Conti AAML 21 88 0 13 Aug 2019
Poisoning Attacks with Generative Adversarial Nets Luis Muñoz-González Bjarne Pfitzner Matteo Russo Javier Carnerero-Cano Emil C. Lupu AAML 21 63 0 18 Jun 2019
Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks Felipe A. Mejia Paul Gamble Z. Hampel-Arias M. Lomnitz Nina Lopatina Lucas Tindall M. Barrios SILM 27 18 0 15 Jun 2019
Reconstruction and Membership Inference Attacks against Generative Models Benjamin Hilprecht Martin Härterich Daniel Bernau AAML MIACV 21 185 0 07 Jun 2019
Bypassing Backdoor Detection Algorithms in Deep Learning T. Tan Reza Shokri FedML AAML 39 149 0 31 May 2019
A backdoor attack against LSTM-based text classification systems Jiazhu Dai Chuanshuai Chen SILM 8 320 0 29 May 2019
Evaluating Differentially Private Machine Learning in Practice Bargav Jayaraman David Evans 15 7 0 24 Feb 2019
A new Backdoor Attack in CNNs by training set corruption without label poisoning Mauro Barni Kassem Kallas B. Tondi AAML 35 348 0 12 Feb 2019
Adversarial Samples on Android Malware Detection Systems for IoT Systems Xiaolei Liu Xiaojiang Du Xiaosong Zhang Qingxin Zhu Mohsen Guizani AAML 6 60 0 12 Feb 2019
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering Bryant Chen Wilka Carvalho Wenjie Li Heiko Ludwig Benjamin Edwards Chengyao Chen Ziqiang Cao Biplav Srivastava AAML 31 782 0 09 Nov 2018
Stronger Data Poisoning Attacks Break Data Sanitization Defenses Pang Wei Koh Jacob Steinhardt Percy Liang 6 240 0 02 Nov 2018
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting Zecheng He Tianwei Zhang R. Lee FedML AAML MLAU 22 18 0 09 Aug 2018
Enabling Trust in Deep Learning Models: A Digital Forensics Case Study Aditya K Slawomir Grzonkowski NhienAn Lekhac 19 27 0 03 Aug 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 48 77 0 31 Jul 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi Wenjie Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein AAML 45 1,076 0 03 Apr 2018
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks Octavian Suciu R. Marginean Yigitcan Kaya Hal Daumé Tudor Dumitras AAML 40 286 0 19 Mar 2018
BEBP: An Poisoning Method Against Machine Learning Based IDSs Pan Li Qiang Liu Wentao Zhao Dongxu Wang Siqi Wang AAML 10 6 0 11 Mar 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Bo Li Kimberly Lu D. Song AAML SILM 44 1,808 0 15 Dec 2017
Neural Trojans Yuntao Liu Yang Xie Ankur Srivastava AAML 13 350 0 03 Oct 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 27 746 0 09 Jun 2017