papers

Publications (38)

cs.LG2023

BadVFL: Backdoor Attacks in Vertical Federated Learning

Mohammad Naseri, Yufei Han, Emiliano De Cristofaro

Federated learning (FL) enables multiple parties to collaboratively train a machine learning model without sharing their data; rather, they train their own model locally and send u…

cs.LG2025

From Risk to Resilience: Towards Assessing and Mitigating the Risk of Data Reconstruction Attacks in Federated Learning

Xiangrui Xu, Zhize Li, Yufei Han +3

Data Reconstruction Attacks (DRA) pose a significant threat to Federated Learning (FL) systems by enabling adversaries to infer sensitive training data from local clients. Despite…

cs.CV2025

PolGS: Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction

Yufei Han, Bowen Tie, Heng Guo +5

Efficient shape reconstruction for surfaces with complex reflectance properties is crucial for real-time virtual reality. While 3D Gaussian Splatting (3DGS)-based methods offer fas…

cs.LG2021

Attack Transferability Characterization for Adversarially Robust Multi-label Classification

Zhuo Yang, Yufei Han, Xiangliang Zhang

Despite of the pervasive existence of multi-label evasion attack, it is an open yet essential problem to characterize the origin of the adversarial vulnerability of a multi-label l…

cond-mat.dis-nn2013

Pairwise MRF Calibration by Perturbation of the Bethe Reference Point

Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes +1

We investigate different ways of generating approximate solutions to the pairwise Markov random field (MRF) selection problem. We focus mainly on the inverse Ising problem, but dis…

cs.CV2026

Kwai Keye-VL-2.0 Technical Report

Kwai Keye Team, Bin Wen, Changyi Liu +50

We introduce Kwai Keye-VL-2.0-30B-A3B, an open-source Mixture-of-Experts (MoE) multimodal foundation model designed to advance long-video understanding and agentic intelligence. To…