Xiangyu Zhang

Architecting a Stochastic Computing Unit with Molecular Optical Devices

2018

The increasing difficulty in leveraging CMOS scaling for improved performance requires exploring alternative technologies. A promising technique is to exploit the physical properties of devices to specialize certain computations. A recently proposed approach uses molecular-scale …

Finding client-side business flow tampering vulnerabilities

2020

The sheer complexity of web applications leaves open a large attack surface of business logic. Particularly, in some scenarios, developers have to expose a portion of the logic to the client-side in order to coordinate …

TRADER

2020

Recurrent Neural Networks (RNN) can deal with (textual) input with various length and hence have a lot of applications in software systems and software engineering applications. RNNs depend on word embeddings that are usually pre-trained …

Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense

2022 · arXiv (Cornell University)

We develop a novel optimization method for NLPbackdoor inversion. We leverage a dynamically reducing temperature coefficient in the softmax function to provide changing loss landscapes to the optimizer such that the process gradually focuses on …

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense

2023 · arXiv (Cornell University)

Deep Learning backdoor attacks have a threat model similar to traditional cyber attacks. Attack forensics, a critical counter-measure for traditional cyber attacks, is hence of importance for defending model backdoor attacks. In this paper, we …

DFuzzer: Diversity-Driven Seed Queue Construction of Fuzzing for Deep Learning Models

2023 · IEEE Transactions on Reliability

In light of high-performance computer processing, massive datasets, and mighty algorithms, we are rapidly entering an age where the advanced deep learning (DL) capabilities are integrated into the contemporary software systems to fulfill critical tasks. …

Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy

2024 · arXiv (Cornell University)

While deep learning approaches represent the state-of-the-art of natural language processing (NLP) today, classical algorithms and approaches still find a place in NLP textbooks and courses of recent years. This paper discusses the perspectives of …

CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs

2025 · arXiv (Cornell University)

Large language models (LLMs) have become integral to modern software development, producing vast amounts of AI-generated source code. While these models boost programming productivity, their misuse introduces critical risks, including code plagiarism, license violations, and …