Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
Authors: Phuc Tran, Nisheeth K. Vishnoi, Van H. Vu | Published: 2025-10-29
Computational Efficiency
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
Authors: Hiromu Takahashi, Shotaro Ishihara | Published: 2025-10-27
ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
Authors: Shivansh Chopra, Hussain Ahmad, Diksha Goel, Claudia Szabo | Published: 2024-12-06 | Updated: 2025-05-20
Verification of Machine Unlearning is Fragile
Authors: Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li | Published: 2024-08-01
A Hybrid Federated Kernel Regularized Least Squares Algorithm
Authors: Celeste Damiani, Yulia Rodina, Sergio Decherchi | Published: 2024-07-24
Attack-Aware Noise Calibration for Differential Privacy
Authors: Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso | Published: 2024-07-02 | Updated: 2024-11-07
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain
Authors: Joon Soo Yoo, Baek Kyung Song, Tae Min Ahn, Ji Won Heo, Ji Won Yoon | Published: 2024-06-14
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
Authors: Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal | Published: 2024-06-02 | Updated: 2025-03-31
A Simple Solution for Homomorphic Evaluation on Large Intervals
Authors: John Chiang | Published: 2024-05-24
PackVFL: Efficient HE Packing for Vertical Federated Learning
Authors: Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang | Published: 2024-05-01