Literature Database

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Authors: Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang | Published: 2019-04-01 | Updated: 2019-11-30
Model Extraction Attack
Reconstruction Attack
Adversarial Attack Detection

TG-PSM: Tunable Greedy Packet Sequence Morphing Based on Trace Clustering

Authors: Farzam Fanitabasi | Published: 2019-04-01
Data Protection Method
Data-Driven Clustering
Privacy Protection Method

Defending against adversarial attacks by randomized diversification

Authors: Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy | Published: 2019-04-01
Adversarial Example Detection
Adversarial Attack Detection
Watermark Robustness

Deep Learning in steganography and steganalysis from 2015 to 2018

Authors: Marc Chaumont | Published: 2019-03-31 | Updated: 2019-10-16
Steganography Techniques
Machine Learning Application
Deep Learning-Based IDS

On the Vulnerability of CNN Classifiers in EEG-Based BCIs

Authors: Xiao Zhang, Dongrui Wu | Published: 2019-03-31
Certified Robustness
Adversarial Learning
Adversarial Attack Detection

A Machine Learning Framework for Biometric Authentication using Electrocardiogram

Authors: Song-Kyoo Kim, Chan Yeob Yeun, Ernesto Damiani, Nai-Wei Lo | Published: 2019-03-29 | Updated: 2019-08-05
Data Preprocessing
Signal Processing
Biometric Authentication Technology

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Authors: Dan Hendrycks, Thomas Dietterich | Published: 2019-03-28
Robust Optimization
Adversarial Learning
Adversarial Attack Detection

Using Blockchain to Rein in The New Post-Truth World and Check The Spread of Fake News

Authors: Adnan Qayyum, Junaid Qadir, Muhammad Umar Janjua, Falak Sher | Published: 2019-03-28
Detection of Misinformation
Psychological Manipulation
Causes of Information Leakage

Rallying Adversarial Techniques against Deep Learning for Network Security

Authors: Joseph Clements, Yuzhe Yang, Ankur Sharma, Hongxin Hu, Yingjie Lao | Published: 2019-03-27 | Updated: 2021-10-25
Effective Perturbation Methods
Adversarial Learning
Adversarial Attack Detection

Bridging Adversarial Robustness and Gradient Interpretability

Authors: Beomsu Kim, Junghoon Seo, Taegyun Jeon | Published: 2019-03-27 | Updated: 2019-04-19
Certified Robustness
Adversarial Learning
Interpretability