Cheng Tan
4 papers in the PaperMetrix corpus
Papers by this author
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PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
2026 · arXiv
Scientific paper recommendation is typically evaluated as static ranking over a fixed candidate set, yet real scientific reading unfolds as a daily, longitudinal process in which interests shift and feedback accumulates. We introduce PaperFlow, a …
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Defending against ROP Attacks with Nearly Zero Overhead
2019
Return-Oriented Programming (ROP) is a sophisticated exploitation technique that is able to drive target applications to perform arbitrary unintended operations by constructing a gadget chain reusing existing small code sequences (gadgets) collected across the entire …
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Dropout Attacks
2023 · arXiv (Cornell University)
Dropout is a common operator in deep learning, aiming to prevent overfitting by randomly dropping neurons during training. This paper introduces a new family of poisoning attacks against neural networks named DROPOUTATTACK. DROPOUTATTACK attacks the …
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AutoSpec: Automated Generation of Neural Network Specifications
2024 · arXiv (Cornell University)
The increasing adoption of neural networks in learning-augmented systems highlights the growing need for model safety and robustness, especially in safety-critical domains. While recent advances in neural network verification offer formal guarantees on worst-case behavior, …