Literature Database

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

Authors: Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May O'Reilly | Published: 2019-09-30 | Updated: 2020-06-17
Poisoning
Convergence Analysis
Adversarial attack

Decision Explanation and Feature Importance for Invertible Networks

Authors: Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan | Published: 2019-09-30 | Updated: 2019-10-15
Model Design and Accuracy
Machine Learning Algorithm
Feature Selection Method

Deep k-NN Defense against Clean-label Data Poisoning Attacks

Authors: Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson | Published: 2019-09-29 | Updated: 2020-08-13
Backdoor Attack
Performance Evaluation
Detection of Poisonous Data

Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks

Authors: Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2019-09-27 | Updated: 2020-07-06
Adversarial Example
Adversarial attack
Quantization and Privacy

Alleviating Privacy Attacks via Causal Learning

Authors: Shruti Tople, Amit Sharma, Aditya Nori | Published: 2019-09-27 | Updated: 2020-07-17
Privacy Loss Analysis
Membership Inference
Machine Learning Technology

A Matrix Factorization Model for Hellinger-based Trust Management in Social Internet of Things

Authors: Soroush Aalibagi, Hamidreza Mahyar, Ali Movaghar, H. Eugene Stanley | Published: 2019-09-26 | Updated: 2021-03-02
Signal Analysis
Experimental Validation
Computational Complexity

Lower Bounds on Adversarial Robustness from Optimal Transport

Authors: Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal | Published: 2019-09-26 | Updated: 2019-10-30
Taxonomy of Attacks
Adversarial attack
Machine Learning Application

GAMIN: An Adversarial Approach to Black-Box Model Inversion

Authors: Ulrich Aïvodji, Sébastien Gambs, Timon Ther | Published: 2019-09-26
Poisoning
Taxonomy of Attacks
Generative Adversarial Network

Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

Authors: Nilesh A. Ahuja, Ibrahima Ndiour, Trushant Kalyanpur, Omesh Tickoo | Published: 2019-09-25
Out-of-Distribution Detection
Adversarial attack
Generative Model Characteristics

Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks

Authors: Tianyu Pang, Kun Xu, Jun Zhu | Published: 2019-09-25 | Updated: 2020-02-20
Model Interpretability
Adversarial Example
Adversarial attack