Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

29 August 2017

Luis Muñoz-González

Battista Biggio

Ambra Demontis

Fabio Roli

Papers citing "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"

50 / 133 papers shown

Title
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 49 74 0 23 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 33 9 0 19 Dec 2021
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks Atul Sharma Wei Chen Joshua C. Zhao Qiang Qiu Somali Chaterji S. Bagchi FedML AAML 54 5 0 19 Oct 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training J. Breier Xiaolu Hou Martín Ochoa Jesus Solano SILM AAML 41 8 0 23 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 43 16 0 20 Sep 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 28 69 0 17 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang Lingjuan Lyu Weiqiang Wang Lichao Sun Xu Sun 21 35 0 03 Sep 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 48 73 0 01 Aug 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm AAML 30 22 0 08 Jul 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 38 81 0 30 Jun 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 37 132 0 21 Jun 2021
Accumulative Poisoning Attacks on Real-time Data Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu 37 20 0 18 Jun 2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch Hossein Souri Liam H. Fowl Ramalingam Chellappa Micah Goldblum Tom Goldstein SILM 31 124 0 16 Jun 2021
Disrupting Model Training with Adversarial Shortcuts Ivan Evtimov Ian Covert Aditya Kusupati Tadayoshi Kohno AAML 28 10 0 12 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Fei Wu Jiwei Li Tianwei Zhang AAML SILM 33 47 0 03 Jun 2021
A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers Xi Li David J. Miller Zhen Xiang G. Kesidis AAML 16 0 0 28 May 2021
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming Minkai Xu Wujie Wang Shitong Luo Chence Shi Yoshua Bengio Rafael Gómez-Bombarelli Jian Tang 3DV 54 79 0 15 May 2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks Jian Chen Xuxin Zhang Rui Zhang Chen Wang Ling Liu AAML 25 86 0 08 May 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 33 42 0 29 Mar 2021
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
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 29 9 0 18 Mar 2021
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations Eitan Borgnia Jonas Geiping Valeriia Cherepanova Liam H. Fowl Arjun Gupta Amin Ghiasi Furong Huang Micah Goldblum Tom Goldstein 45 46 0 02 Mar 2021
Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release Liam H. Fowl Ping Yeh-Chiang Micah Goldblum Jonas Geiping Arpit Bansal W. Czaja Tom Goldstein 24 43 0 16 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
Data Poisoning Attacks to Deep Learning Based Recommender Systems Hai Huang Jiaming Mu Neil Zhenqiang Gong Qi Li Bin Liu Mingwei Xu AAML 25 129 0 07 Jan 2021
Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems Moshe Kravchik Battista Biggio A. Shabtai AAML 27 28 0 23 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 64 140 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 D. Song Aleksander Madry Bo Li Tom Goldstein SILM 37 271 0 18 Dec 2020
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks Jinyuan Jia Yupei Liu Xiaoyu Cao Neil Zhenqiang Gong AAML 40 74 0 07 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 183 357 0 07 Dec 2020
How Robust are Randomized Smoothing based Defenses to Data Poisoning? Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD AAML 28 32 0 02 Dec 2020
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack Rui Shu Tianpei Xia Laurie A. Williams Tim Menzies AAML 32 15 0 23 Nov 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA Adnan Siraj Rakin Yukui Luo Xiaolin Xu Deliang Fan AAML 25 49 0 05 Nov 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
Data Poisoning Attacks on Regression Learning and Corresponding Defenses Nicolas Müller Daniel Kowatsch Konstantin Böttinger AAML 10 18 0 15 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 21 215 0 04 Sep 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 37 49 0 02 Sep 2020
Federated Learning via Synthetic Data Jack Goetz Ambuj Tewari FedML DD 27 71 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
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML MLAU BDL 18 95 0 17 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
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild Micah Goldblum Arjun Gupta John P. Dickerson Tom Goldstein AAML TDI 21 162 0 22 Jun 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 22 16 0 17 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 26 58 0 08 Jun 2020
A Distributed Trust Framework for Privacy-Preserving Machine Learning Will Abramson A. Hall Pavlos Papadopoulos Nikolaos Pitropakis William J. Buchanan 14 20 0 03 Jun 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 24 52 0 24 May 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 43 434 0 14 Apr 2020
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers Giorgio Severi J. Meyer Scott E. Coull Alina Oprea AAML SILM 29 18 0 02 Mar 2020
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation Javier Carnerero-Cano Luis Muñoz-González P. Spencer Emil C. Lupu AAML 36 11 0 28 Feb 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 28 136 0 26 Feb 2020