AIセキュリティポータルbot

Adversarial Machine Learning — Industry Perspectives

Authors: Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia | Published: 2020-02-04 | Updated: 2021-03-19
Security Testing
Security label
Membership Inference

Defending Adversarial Attacks via Semantic Feature Manipulation

Authors: Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen | Published: 2020-02-03 | Updated: 2020-04-22
Robustness Improvement Method
Adversarial Example
Effectiveness Analysis of Defense Methods

Learning to Detect Malicious Clients for Robust Federated Learning

Authors: Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen | Published: 2020-02-01
Poisoning
Malicious Node Detection
Federated Learning System

Politics of Adversarial Machine Learning

Authors: Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar | Published: 2020-02-01 | Updated: 2020-04-26
Membership Inference
Human Rights and Technology
Defense Method

An Autonomous Intrusion Detection System Using an Ensemble of Advanced Learners

Authors: Amir Andalib, Vahid Tabataba Vakili | Published: 2020-01-31 | Updated: 2020-12-29
Security Analysis
Machine Learning Technology
Feature Extraction Method

FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications

Authors: Dou Goodman, Lv Zhonghou, Wang minghua | Published: 2020-01-31
Text Perturbation Method
Adversarial Perturbation Techniques
Natural Language Processing

Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain

Authors: Yigit Alparslan, Ken Alparslan, Jeremy Keim-Shenk, Shweta Khade, Rachel Greenstadt | Published: 2020-01-30 | Updated: 2021-02-08
Robustness Improvement Method
Adversarial Example
Adversarial Perturbation Techniques

A4 : Evading Learning-based Adblockers

Authors: Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq | Published: 2020-01-29
Adversarial Perturbation Techniques
Adversarial Transferability
Machine Learning Technology

Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance

Authors: Farhad Farokhi | Published: 2020-01-29
Robustness Improvement Method
Content Specialized for Toxicity Attacks
Continuous Linear Function

Modelling and Quantifying Membership Information Leakage in Machine Learning

Authors: Farhad Farokhi, Mohamed Ali Kaafar | Published: 2020-01-29 | Updated: 2020-04-28
Privacy Protection
Membership Inference
Information-Theoretic Approach