OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions
Authors: Yu-Shin Huang, Peter Just, Krishna Narayanan, Chao Tian | Published: 2024-10-06
Optimization Problem
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
Authors: Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni | Published: 2024-10-04 | Updated: 2025-04-29
Enhancing Robustness of Graph Neural Networks through p-Laplacian
Authors: Anuj Kumar Sirohi, Subhanu Halder, Kabir Kumar, Sandeep Kumar | Published: 2024-09-27
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