46 citations · 153 across the 19 of their papers we have counts for
20 papers
SpreadMark: Robust Image Watermarking via Spread-Spectrum Embedding
Wei Song, Yuxin Cao, Zhenchang Xing +4
Invisible image watermarks are increasingly used for deepfake detection and provenance tracking, where they must survive not only incidental distortions but also deliberate removal…
Watermark Forensics for Generative Models: An Information-Theoretic Perspective
Xiaoyu Li, Zheng Gao, Xiaoyan Feng +3
A watermark in a generative model's output is usually asked only whether a text is machine-made. The same mark can do more: attribute it to the user who produced it, extract a hidd…
TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories
Zheng Gao, Xiaoyu Li, Xiaoyan Feng +5
LLM agents reach users through resellers, who may rebrand a developer's agent or substitute a cheaper model. When provenance is disputed, attribution rests on the trajectory log (t…
DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses
Wei Song, Zhenchang Xing, Liming Zhu +2
The rapid proliferation of realistic deepfakes has raised urgent concerns over their misuse, motivating the use of defensive watermarks in synthetic images for reliable detection a…
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
Yang Wu, Yao Wan, Hongyu Zhang +5
The Natural Language to Visualization (NL2Vis) task aims to transform natural-language descriptions into visual representations for a grounded table, enabling users to gain insight…
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
Zhaoyang Chu, Yao Wan, Qian Li +5
Vulnerability detection is crucial for ensuring the security and reliability of software systems. Recently, Graph Neural Networks (GNNs) have emerged as a prominent code embedding…
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
Zhangqian Bi, Yao Wan, Zheng Wang +7
Large Language Models (LLMs) have shown remarkable progress in automated code generation. Yet, LLM-generated code may contain errors in API usage, class, data structure, or missing…
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries
Wei Zhao, Zhitao Hou, Siyuan Wu +6
Writing formulas on spreadsheets, such as Microsoft Excel and Google Sheets, is a widespread practice among users performing data analysis. However, crafting formulas on spreadshee…
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan, Yang He, Zhangqian Bi +6
Code intelligence leverages machine learning techniques to extract knowledge from extensive code corpora, with the aim of developing intelligent tools to improve the quality and pr…
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei, Dayong Ye, Sheng Shen +3
Reinforcement learning (RL) is one of the most important branches of AI. Due to its capacity for self-adaption and decision-making in dynamic environments, reinforcement learning h…
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning
Guanqin Zhang, Jiankun Sun, Feng Xu +4
Deep neural networks (DNNs), are widely used in many industries such as image recognition, supply chain, medical diagnosis, and autonomous driving. However, prior work has shown th…
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code
Yao Wan, Wei Zhao, Hongyu Zhang +3
Recently, many pre-trained language models for source code have been proposed to model the context of code and serve as a basis for downstream code intelligence tasks such as code…
Cross-Language Binary-Source Code Matching with Intermediate Representations
Yi Gui, Yao Wan, Hongyu Zhang +5
Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse engineering and vulnerability assessm…
Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations
Weiwei Zhang, Shengjian Guo, Hongyu Zhang +3
Software clone detection identifies similar code snippets. It has been an active research topic that attracts extensive attention over the last two decades. In recent years, machin…
A Systematical Study on Application Performance Management Libraries for Apps
Yutian Tang, Haoyu Wang, Xian Zhan +6
Being able to automatically detect the performance issues in apps can significantly improve apps' quality as well as having a positive influence on user satisfaction. Application P…
NaturalCC: A Toolkit to Naturalize the Source Code Corpus
Yao Wan, Yang He, Jian-Guo Zhang +5
We present NaturalCC, an efficient and extensible toolkit to bridge the gap between natural language and programming language, and facilitate the research on big code analysis. Usi…
MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs
Hongxu Chen, Shengjian Guo, Yinxing Xue +5
Grey-box fuzz testing has revealed thousands of vulnerabilities in real-world software owing to its lightweight instrumentation, fast coverage feedback, and dynamic adjusting strat…
Secure Metric Learning via Differential Pairwise Privacy
Jing Li, Yuangang Pan, Yulei Sui +1
Distance Metric Learning (DML) has drawn much attention over the last two decades. A number of previous works have shown that it performs well in measuring the similarities of indi…
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval
Yao Wan, Jingdong Shu, Yulei Sui +4
Code retrieval techniques and tools have been playing a key role in facilitating software developers to retrieve existing code fragments from available open-source repositories giv…
Demand-Driven Pointer Analysis with Strong Updates via Value-Flow Refinement
Yulei Sui, Jingling Xue
We present a new demand-driven flow- and context-sensitive pointer analysis with strong updates for C programs, called SUPA, that enables computing points-to information via value-…