AIセキュリティポータルbot

Input Validation for Neural Networks via Runtime Local Robustness Verification

Authors: Jiangchao Liu, Liqian Chen, Antoine Mine, Ji Wang | Published: 2020-02-09 | Updated: 2024-02-13
Robustness Improvement Method
Adversarial Example
Adversarial Perturbation Techniques

MDEA: Malware Detection with Evolutionary Adversarial Learning

Authors: Xiruo Wang, Risto Miikkulainen | Published: 2020-02-09 | Updated: 2020-04-17
Malicious Package Detection
Machine Learning Technology
Evolutionary Algorithm

Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness

Authors: Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi | Published: 2020-02-08 | Updated: 2020-08-14
Robustness Improvement Method
Convergence Property
Statistical Testing

Analysis of Random Perturbations for Robust Convolutional Neural Networks

Authors: Adam Dziedzic, Sanjay Krishnan | Published: 2020-02-08 | Updated: 2020-06-07
Robustness Improvement Method
Adversarial Example
Adversarial Perturbation Techniques

Certified Robustness to Label-Flipping Attacks via Randomized Smoothing

Authors: Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter | Published: 2020-02-07 | Updated: 2020-08-11
Poisoning
Robustness Improvement Method
Continuous Linear Function

Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness

Authors: Ting-Wu Chin, Cha Zhang, Diana Marculescu | Published: 2020-02-07 | Updated: 2021-04-28
Robustness Improvement Method
Adversarial Example
Adversarial Transferability

MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing

Authors: Yu Zhang, Tao Gu, Xi Zhang | Published: 2020-02-07 | Updated: 2020-02-15
Scheduling Method
Trade-off Analysis
Reinforcement Learning Environment

Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals

Authors: Yunhan Huang, Quanyan Zhu | Published: 2020-02-07 | Updated: 2020-07-20
Q-Learning Algorithm
Convergence Analysis
Adversarial attack

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification

Authors: Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin | Published: 2020-02-07
Bayesian Classification
Poisoning
Adversarial Example

Can’t Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks

Authors: Moshe Kravchik, Asaf Shabtai | Published: 2020-02-07
Poisoning
Robustness Improvement Method
Content Specialized for Toxicity Attacks