Literature Database

Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks

Authors: Mahdieh Abbasi, Arezoo Rajabi, Christian Gagne, Rakesh B. Bobba | Published: 2020-05-17
Promotion of Diversity
Performance Evaluation Metrics
Adversarial Example
2020.05.17 2025.05.28
Literature Database

PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking

Authors: Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal | Published: 2020-05-17 | Updated: 2021-03-31
Robustness Analysis
Adversarial attack
Feature Extraction Method
2020.05.17 2025.05.28
Literature Database

Universal Adversarial Perturbations: A Survey

Authors: Ashutosh Chaubey, Nikhil Agrawal, Kavya Barnwal, Keerat K. Guliani, Pramod Mehta | Published: 2020-05-16
Algorithm
Loss Function
Adversarial Example
2020.05.16 2025.05.28
Literature Database

NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips

Authors: Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique | Published: 2020-05-16
Performance Evaluation Metrics
Machine Learning Method
Deep Learning Technology
2020.05.16 2025.05.28
Literature Database

Encryption Inspired Adversarial Defense for Visual Classification

Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-05-16
Machine Learning Algorithm
Machine Learning Method
Defense Effectiveness Analysis
2020.05.16 2025.05.28
Literature Database

Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data

Authors: Deepesh Data, Suhas Diggavi | Published: 2020-05-16
Algorithm
Loss Function
Machine Learning Algorithm
2020.05.16 2025.05.28
Literature Database

Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness

Authors: Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu | Published: 2020-05-15 | Updated: 2020-06-07
Algorithm
Machine Learning Algorithm
Machine Learning Method
2020.05.15 2025.05.28
Literature Database

A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification

Authors: Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen | Published: 2020-05-14 | Updated: 2020-05-15
Graph Representation Learning
Malware Detection Method
Deep Learning Technology
2020.05.14 2025.05.28
Literature Database

Protecting the integrity of the training procedure of neural networks

Authors: Christian Berghoff | Published: 2020-05-14
Data Dependency
Training Method
Machine Learning Algorithm
2020.05.14 2025.05.28
Literature Database

Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning

Authors: Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt | Published: 2020-05-14 | Updated: 2020-09-01
Fairness evaluation
Adversarial Example
Machine Learning Application
2020.05.14 2025.05.28
Literature Database
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