AIセキュリティポータルbot

Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection

Authors: Olga Petrova, Karel Durkota, Galina Alperovich, Karel Horak, Michal Najman, Branislav Bosansky, Viliam Lisy | Published: 2020-04-22
Adversarial attack
Selection and Evaluation of Optimization Algorithms
Anomaly Detection Algorithm

Provably robust deep generative models

Authors: Filipe Condessa, Zico Kolter | Published: 2020-04-22
Robustness Improvement Method
Adversarial attack
Deep Learning Method

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2020-04-22 | Updated: 2020-04-23
Privacy Enhancing Technology
Poisoning
Attack Type

Probabilistic Safety for Bayesian Neural Networks

Authors: Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska | Published: 2020-04-21 | Updated: 2020-06-19
Bayesian Security
Robustness Evaluation
Deep Learning Method

Certifying Joint Adversarial Robustness for Model Ensembles

Authors: Mainuddin Ahmad Jonas, David Evans | Published: 2020-04-21
Model Ensemble
Robustness Improvement Method
Adversarial Example

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

Authors: Sanchari Sen, Balaraman Ravindran, Anand Raghunathan | Published: 2020-04-21
Machine Learning
Deep Learning-Based IDS
Defense Method

PhishOut: Effective Phishing Detection Using Selected Features

Authors: Suhail Paliath, Mohammad Abu Qbeitah, Monther Aldwairi | Published: 2020-04-21
URL-based Detection
Multi-Class Classification
Machine Learning

Scalable and Secure Architecture for Distributed IoT Systems

Authors: Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes, Yehia Massoud | Published: 2020-04-20
Security Assurance
Malware Classification
Role of Machine Learning

Headless Horseman: Adversarial Attacks on Transfer Learning Models

Authors: Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu | Published: 2020-04-20
Poisoning
Adversarial Perturbation Techniques
Machine Learning

Local Differential Privacy based Federated Learning for Internet of Things

Authors: Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam | Published: 2020-04-19 | Updated: 2020-12-22
Privacy Enhancing Technology
Optimization Methods
Machine Learning