Data Generation

Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks

Authors: Alberto Mozo, Ángel González-Prieto, Antonio Pastor, Sandra Gómez-Canaval, Edgar Talavera | Published: 2021-07-30
Data Generation
Poisoning
Machine Learning Algorithm

Auxiliary-Classifier GAN for Malware Analysis

Authors: Rakesh Nagaraju, Mark Stamp | Published: 2021-07-04
Data Generation
Malware Evolution
Deep Learning Method

Learner-Private Convex Optimization

Authors: Jiaming Xu, Kuang Xu, Dana Yang | Published: 2021-02-23 | Updated: 2021-10-23
Data Collection
Data Generation
Bayesian Classification

Certifiably Robust Variational Autoencoders

Authors: Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth | Published: 2021-02-15 | Updated: 2022-04-23
Watermarking
Data Generation
Model Architecture

Symmetric Sparse Boolean Matrix Factorization and Applications

Authors: Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang | Published: 2021-02-02 | Updated: 2022-01-13
Watermarking
Data Generation
Linear Independence

Differentially Private Adversarial Robustness Through Randomized Perturbations

Authors: Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-09-27
Data Generation
Relationship between Robustness and Privacy
Adversarial Example

Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models

Authors: Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu | Published: 2020-09-18 | Updated: 2021-05-17
Watermarking
Data Generation
Membership Inference

Real-Time Anomaly Detection in Edge Streams

Authors: Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos | Published: 2020-09-17 | Updated: 2022-04-25
DDoS Attack
Data Generation
Anomaly Detection Method

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation

Authors: Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao | Published: 2020-09-16 | Updated: 2020-12-26
Data Generation
Performance Evaluation Metrics
Deep Reinforcement Learning

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup

Authors: Jang-Hyun Kim, Wonho Choo, Hyun Oh Song | Published: 2020-09-15 | Updated: 2020-12-30
Data Generation
Selection and Evaluation of Optimization Algorithms
Machine Learning