Performance Evaluation

Machine learning attack on copy detection patterns: are 1×1 patterns cloneable?

Authors: Roman Chaban, Olga Taran, Joakim Tutt, Taras Holotyak, Slavi Bonev, Slava Voloshynovskiy | Published: 2021-10-05 | Updated: 2021-10-06
Algorithm
Data Generation
Performance Evaluation

Mobile authentication of copy detection patterns: how critical is to know fakes?

Authors: Olga Taran, Joakim Tutt, Taras Holotyak, Roman Chaban, Slavi Bonev, Slava Voloshynovskiy | Published: 2021-10-05
Data Generation
Performance Evaluation
Intellectual Property Protection

An energy-based model for neuro-symbolic reasoning on knowledge graphs

Authors: Dominik Dold, Josep Soler Garrido | Published: 2021-10-04
Algorithm
Performance Evaluation
Machine Learning Application

Leaked-Web: Accurate and Efficient Machine Learning-Based Website Fingerprinting Attack through Hardware Performance Counters

Authors: Han Wang | Published: 2021-10-04
Data Leakage
Fingerprinting Method
Performance Evaluation

First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data

Authors: Masataka Tasumi, Kazuki Iwahana, Naoto Yanai, Katsunari Shishido, Toshiya Shimizu, Yuji Higuchi, Ikuya Morikawa, Jun Yajima | Published: 2021-09-30
Data Extraction and Analysis
Data Generation
Performance Evaluation

Fairness-Driven Private Collaborative Machine Learning

Authors: Dana Pessach, Tamir Tassa, Erez Shmueli | Published: 2021-09-29
Data Privacy Assessment
Performance Evaluation
Federated Learning

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Authors: Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot | Published: 2021-09-27 | Updated: 2022-03-02
Algorithm
Performance Evaluation
Regularization

Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers

Authors: Ruidi Chen, Boran Hao, Ioannis Paschalidis | Published: 2021-09-27 | Updated: 2023-03-25
Robustness
Performance Evaluation
Machine Learning Application

MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers

Authors: Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud | Published: 2021-09-26
Privacy Risk Management
Performance Evaluation
Federated Learning

Opacus: User-Friendly Differential Privacy Library in PyTorch

Authors: Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov | Published: 2021-09-25 | Updated: 2022-08-22
DP-SGD
Library Classification
Performance Evaluation