Zhengmian Hu

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients

2021 · arXiv (Cornell University)

Adversarial attacks by generating examples which are almost indistinguishable from natural examples, pose a serious threat to learning models. Defending against adversarial attacks is a critical element for a reliable learning system. Support vector machine …

Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining

2023 · arXiv (Cornell University)

Multi-party collaborative training, such as distributed learning and federated learning, is used to address the big data challenges. However, traditional multi-party collaborative training algorithms were mainly designed for balanced data mining tasks and are intended …

Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap

2025 · arXiv (Cornell University)

We present Voice Evaluation of Reasoning Ability (VERA), a benchmark for evaluating reasoning ability in voice-interactive systems under real-time conversational constraints. VERA comprises 2,931 voice-native episodes derived from established text benchmarks and organized into five …