Adversarial Attack Detection

Adversarial Self-Supervised Contrastive Learning

Authors: Minseon Kim, Jihoon Tack, Sung Ju Hwang | Published: 2020-06-13 | Updated: 2020-10-26
Performance Evaluation
Poisoning
Adversarial Attack Detection

Provably Robust Metric Learning

Authors: Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh | Published: 2020-06-12 | Updated: 2020-12-19
Algorithm
Adversarial Attack Detection
Optimization Methods

Robustness to Adversarial Attacks in Learning-Enabled Controllers

Authors: Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan | Published: 2020-06-11
Safety Characteristics
Attack Type
Adversarial Attack Detection

Tricking Adversarial Attacks To Fail

Authors: Blerta Lindqvist | Published: 2020-06-08
Attack Type
Adversarial Attack Detection
Defense Effectiveness Analysis

On Universalized Adversarial and Invariant Perturbations

Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam | Published: 2020-06-08
Attack Type
Adversarial Attack Detection
Fundamentals of Machine Learning

Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers

Authors: Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli | Published: 2020-06-06 | Updated: 2021-12-29
Improvement of Learning
Adversarial Attack Detection
Challenges of Generative Models

mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks

Authors: Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen | Published: 2020-06-05 | Updated: 2022-05-08
Algorithm
Attack Type
Adversarial Attack Detection

Towards Understanding Fast Adversarial Training

Authors: Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin | Published: 2020-06-04
Improvement of Learning
Adversarial Example
Adversarial Attack Detection

Characterizing the Weight Space for Different Learning Models

Authors: Saurav Musunuru, Jay N. Paranjape, Rahul Kumar Dubey, Vijendran G. Venkoparao | Published: 2020-06-04
Algorithm
Adversarial Attack Detection
Fundamentals of Machine Learning

Detecting Audio Attacks on ASR Systems with Dropout Uncertainty

Authors: Tejas Jayashankar, Jonathan Le Roux, Pierre Moulin | Published: 2020-06-02 | Updated: 2020-09-15
Attack Type
Adversarial Attack Detection
Malfunction of Voice Assistants