1 citations · 1 across the 10 of their papers we have counts for
7 papers · 1 filter
When Trees Are Not Enough: Learning Mixed-Topology Feature Graphs with Adaptive Graph Sparse Autoencoders
Xiaozuo Shen, Yifei Cai, Tian Tan +3
Sparse autoencoders (SAEs) expose interpretable features in large language model activations, yet existing structured SAEs impose single-parent trees or forests, while post-hoc gra…
CST: Collaborative Selective Transmission for Communication-Efficient Multimodal Edge Inference
Hai Chi, Junrui Zhang, Rui Ning +4
Collaborative multimodal inference improves edge perception by combining observations from distributed sensing devices, but transmitting high-dimensional helper representations inc…
Laplace-Bridged Randomized Smoothing for Fast Certified Robustness
Miao Lin, MD Saifur Rahman Mazumder, Feng Yu +2
Randomized Smoothing (RS) offers formal guarantees for arbitrary base classifiers but faces two key practical bottlenecks: (i) it often relies on noise-augmented training…
Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
Yiming Du, Ziyu Wang, Jian Li +2
Incomplete multi-view clustering (IMVC) aims to discover shared cluster structures from multi-view data with partial observations. The core challenges lie in accurately imputing mi…
PRIVEE: Privacy-Preserving Vertical Federated Learning Against Feature Inference Attacks
Sindhuja Madabushi, Haider Ali, Ahmad Faraz Khan +5
Vertical Federated Learning (VFL) enables collaborative model training across organizations that share common user samples but hold disjoint feature spaces. Despite its potential,…
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
Jiaqi Xue, Mayank Kumar, Yuzhang Shang +5
Federated Learning (FL) enables collaborative model training across institutions without sharing raw data. However, gradient sharing still risks privacy leakage, such as gradient i…
Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference
Xiangrui Xu, Qiao Zhang, Rui Ning +2
The prevalent use of Transformer-like models, exemplified by ChatGPT in modern language processing applications, underscores the critical need for enabling private inference essent…