Evaluating Superhuman Models with Consistency Checks
Authors: Lukas Fluri, Daniel Paleka, Florian Tramèr | Published: 2023-06-16 | Updated: 2023-10-19
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You Don’t Need Robust Machine Learning to Manage Adversarial Attack Risks
Authors: Edward Raff, Michel Benaroch, Andrew L. Farris | Published: 2023-06-16
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks
Authors: Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo | Published: 2023-06-16
Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier
Authors: Zhiyan Chen, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic | Published: 2023-06-15
Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Authors: Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis | Published: 2023-06-15
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
Authors: Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo | Published: 2023-06-15
A Learning Assisted Method for Uncovering Power Grid Generation and Distribution System Vulnerabilities
Authors: Suman Maiti, Anjana B, Sunandan Adhikary, Ipsita Koley, Soumyajit Dey | Published: 2023-06-15
PLAN: Variance-Aware Private Mean Estimation
Authors: Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh | Published: 2023-06-14 | Updated: 2024-04-10
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
Authors: Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum | Published: 2023-06-14 | Updated: 2024-04-16
Fairness and Privacy-Preserving in Federated Learning: A Survey
Authors: Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae | Published: 2023-06-14 | Updated: 2023-07-14