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Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

1 April 2018

Battista Biggio

Papers citing "Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning"

50 / 318 papers shown

Title
Depth-2 Neural Networks Under a Data-Poisoning Attack Sayar Karmakar Anirbit Mukherjee Ramchandran Muthukumar 68 7 0 04 May 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness Pu Zhao Pin-Yu Chen Payel Das Karthikeyan N. Ramamurthy Xue Lin AAML 168 192 0 30 Apr 2020
Poisoning Attacks on Algorithmic Fairness David Solans Battista Biggio Carlos Castillo AAML 99 82 0 15 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning Wenjie Huang Jonas Geiping Liam H. Fowl Gavin Taylor Tom Goldstein 141 190 0 01 Apr 2020
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks Junfeng Guo Zelun Kong Cong Liu AAML 51 1 0 24 Mar 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 174 137 0 10 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 149 279 0 07 Mar 2020
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers Giorgio Severi J. Meyer Scott E. Coull Alina Oprea AAML SILM 106 18 0 02 Mar 2020
Optimal Feature Manipulation Attacks Against Linear Regression Fuwei Li Lifeng Lai Shuguang Cui AAML 64 2 0 29 Feb 2020
Entangled Watermarks as a Defense against Model Extraction Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 98 222 0 27 Feb 2020
The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization With Adversarial Outliers, and the Recovery Hu Ding Ruizhe Qin Jiawei Huang AAML 46 0 0 27 Feb 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 99 138 0 26 Feb 2020
NNoculation: Catching BadNets in the Wild A. Veldanda Kang Liu Benjamin Tan Prashanth Krishnamurthy Farshad Khorrami Ramesh Karri Brendan Dolan-Gavitt S. Garg AAML OnRL 82 21 0 19 Feb 2020
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems Minghong Fang Neil Zhenqiang Gong Jia-Wei Liu TDI 108 155 0 19 Feb 2020
Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon Baptiste Roziere Laurent Meunier Jean Tarbouriech O. Teytaud A. Lazaric Matteo Pirotta AAML 93 51 0 10 Feb 2020
Can't Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks Moshe Kravchik A. Shabtai AAML 62 1 0 07 Feb 2020
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review Khansa Rasheed A. Qayyum Junaid Qadir Shobi Sivathamboo P. Kwan L. Kuhlmann T. O'Brien Adeel Razi 87 231 0 04 Feb 2020
Adversarial Machine Learning -- Industry Perspectives Ramnath Kumar Magnus Nyström J. Lambert Andrew Marshall Mario Goertzel Andi Comissoneru Matt Swann Sharon Xia AAML SILM 111 237 0 04 Feb 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 98 392 0 21 Jan 2020
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 99 169 0 24 Dec 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 56 14 0 28 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 135 1,137 0 26 Nov 2019
White-Box Target Attack for EEG-Based BCI Regression Problems Lubin Meng Chin-Teng Lin T. Jung Dongrui Wu AAML 69 42 0 07 Nov 2019
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 110 78 0 05 Nov 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 107 669 0 28 Oct 2019
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering Lakshya Jain Varun Chandrasekaran Uyeong Jang Wilson Wu Andrew Lee Andy Yan Steven Chen S. Jha Sanjit A. Seshia AAML 72 11 0 02 Oct 2019
Deep Neural Rejection against Adversarial Examples Angelo Sotgiu Ambra Demontis Marco Melis Battista Biggio Giorgio Fumera Xiaoyi Feng Fabio Roli AAML 88 69 0 01 Oct 2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML Sijia Liu Songtao Lu Xiangyi Chen Yao Feng Kaidi Xu Abdullah Al-Dujaili Mingyi Hong Una-May Obelilly 94 26 0 30 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 74 94 0 26 Sep 2019
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction Alexander Schulz Fabian Hinder Barbara Hammer FAtt 26 2 0 19 Sep 2019
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges Jinyuan Jia Neil Zhenqiang Gong AAML SILM 87 17 0 17 Sep 2019
Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities Hongning Dai Raymond Chi-Wing Wong Hao Wang Zibin Zheng A. Vasilakos AI4CE GNN 65 65 0 02 Sep 2019
On the Adversarial Robustness of Subspace Learning Fuwei Li Lifeng Lai Shuguang Cui AAML 46 3 0 17 Aug 2019
Security in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges Sergio López Bernal Alberto Huertas Celdrán Gregorio Martínez Pérez Michael Taynnan Barros Sasitharan Balasubramaniam 96 13 0 09 Aug 2019
The House That Knows You: User Authentication Based on IoT Data Talha Ongun Oliver Spohngellert Alina Oprea Cristina Nita-Rotaru Mihai Christodorescu Negin Salajegheh 8 12 0 01 Aug 2019
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics Yuxin Ma Tiankai Xie Jundong Li Ross Maciejewski AAML 91 67 0 17 Jul 2019
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods Arif Siddiqi AAML 64 11 0 17 Jul 2019
Helen: Maliciously Secure Coopetitive Learning for Linear Models Wenting Zheng Raluca A. Popa Joseph E. Gonzalez Ion Stoica FedML 100 144 0 16 Jul 2019
Poisoning Attacks with Generative Adversarial Nets Luis Muñoz-González Bjarne Pfitzner Matteo Russo Javier Carnerero-Cano Emil C. Lupu AAML 97 64 0 18 Jun 2019
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks Yuanshun Yao Huiying Li Haitao Zheng Ben Y. Zhao AAML 55 13 0 24 May 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples Liwei Song Reza Shokri Prateek Mittal SILM MIACV AAML 99 249 0 24 May 2019
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder Ji Feng Qi-Zhi Cai Zhi Zhou AAML 68 105 0 22 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 79 26 0 05 May 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning A. Salem Apratim Bhattacharyya Michael Backes Mario Fritz Yang Zhang FedML AAML MIACV 96 258 0 01 Apr 2019
On the Adversarial Robustness of Multivariate Robust Estimation Erhan Bayraktar Lifeng Lai 33 3 0 27 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 109 156 0 01 Mar 2019
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications Bryse Flowers R. M. Buehrer William C. Headley AAML 83 127 0 01 Mar 2019
Contamination Attacks and Mitigation in Multi-Party Machine Learning Jamie Hayes O. Ohrimenko AAML FedML 119 75 0 08 Jan 2019
Stealing Neural Networks via Timing Side Channels Vasisht Duddu D. Samanta D. V. Rao V. Balas AAML MLAU FedML 108 135 0 31 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 321 1,065 0 29 Nov 2018