Summary of Real-world Adversarial Defense Against Patch Attacks Based on Diffusion Model, by Xingxing Wei et al.
Real-world Adversarial Defense against Patch Attacks based on Diffusion Modelby Xingxing Wei, Caixin Kang, Yinpeng…
Real-world Adversarial Defense against Patch Attacks based on Diffusion Modelby Xingxing Wei, Caixin Kang, Yinpeng…
Anytime Continual Learning for Open Vocabulary Classificationby Zhen Zhu, Yiming Gong, Derek HoiemFirst submitted to…
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filteringby Changxin Liu, Yanghao Li, Yuhao Yi,…
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryptionby Zhizheng Lai, Yufei Zhou, Peijia Zheng, Lin ChenFirst…
Token Turing Machines are Efficient Vision Modelsby Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou,…
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasksby Erik B. Terres-Escudero, Javier Del…
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encodingby Ronald KatendeFirst submitted to arxiv…
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generatorby Kangyang Luo, Shuai Wang,…
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithmby Jinwei Zhao, Marco Gori, Alessandro Betti,…
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Valuesby Chengwei Sun, Jiwei Wei, Yujia…