Enhancing Robustness of Graph Neural Networks through p-Laplacian
Authors: Anuj Kumar Sirohi, Subhanu Halder, Kabir Kumar, Sandeep Kumar | Published: 2024-09-27
最適化問題
Obsidian: Cooperative State-Space Exploration for Performant Inference on Secure ML Accelerators
Authors: Sarbartha Banerjee, Shijia Wei, Prakash Ramrakhyani, Mohit Tiwari | Published: 2024-09-04
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
Authors: Shihua Sun, Pragya Sharma, Kenechukwu Nwodo, Angelos Stavrou, Haining Wang | Published: 2024-08-13
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
Authors: Kuo Gai, Sicong Wang, Shihua Zhang | Published: 2024-08-01
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory
Authors: Xiaojin Zhang, Wei Chen | Published: 2024-07-23
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Authors: Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann | Published: 2024-07-15 | Updated: 2024-10-14
How to beat a Bayesian adversary
Authors: Zihan Ding, Kexin Jin, Jonas Latz, Chenguang Liu | Published: 2024-07-11
Approximating Two-Layer ReLU Networks for Hidden State Analysis in Differential Privacy
Authors: Antti Koskela | Published: 2024-07-05 | Updated: 2024-10-11
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks
Authors: Tobias Lorenz, Marta Kwiatkowska, Mario Fritz | Published: 2024-06-17 | Updated: 2024-09-11
Adversarial Machine Unlearning
Authors: Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu | Published: 2024-06-11