activity
20202026
most citedRed teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity

173 citations · 784 across the 54 of their papers we have counts for

collaborators
Showing 2023Show all

32 papers · 1 filter

cs.SE2023

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation

Chao Ni, Xin Yin, Kaiwen Yang +3

Though many deep learning (DL)-based vulnerability detection approaches have been proposed and indeed achieved remarkable performance, they still have limitations in the generaliza…

cs.HC2023

Video2Action: Reducing Human Interactions in Action Annotation of App Tutorial Videos

Sidong Feng, Chunyang Chen, Zhenchang Xing

Tutorial videos of mobile apps have become a popular and compelling way for users to learn unfamiliar app features. To make the video accessible to the users, video creators always…

cs.HC2023★ 1 cited

Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications

Jieshan Chen, Jiamou Sun, Sidong Feng +4

Mobile apps bring us many conveniences, such as online shopping and communication, but some use malicious designs called dark patterns to trick users into doing things that are not…

cs.SE2023★ 3 cited

Adaptive Intellect Unleashed: The Feasibility of Knowledge Transfer in Large Language Models

Qing Huang, Yishun Wu, Zhenchang Xing +3

We conduct the first empirical study on using knowledge transfer to improve the generalization ability of large language models (LLMs) in software engineering tasks, which often re…

cs.SE2023★ 1 cited

Quantum Software Analytics: Opportunities and Challenges

Thong Hoang, Hoa Khanh Dam, Tingting Bi +5

Quantum computing systems depend on the principles of quantum mechanics to perform multiple challenging tasks more efficiently than their classical counterparts. In classical softw…

cs.CY2023★ 2 cited

Test-takers have a say: understanding the implications of the use of AI in language tests

Dawen Zhang, Thong Hoang, Shidong Pan +6

Language tests measure a person's ability to use a language in terms of listening, speaking, reading, or writing. Such tests play an integral role in academic, professional, and im…

cs.CR2023★ 3 cited

SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications

Shidong Pan, Zhen Tao, Thong Hoang +5

Privacy policies have become the most critical approach to safeguarding individuals' privacy and digital security. To enhance their presentation and readability, researchers propos…

cs.HC2023★ 1 cited

Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps

Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang +2

With the emergence of deep learning techniques, smartphone apps are now embedded on-device AI features for enabling advanced tasks like speech translation, to attract users and inc…

cs.CY2023★ 8 cited

Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang +4

The Right to be Forgotten (RTBF) was first established as the result of the ruling of Google Spain SL, Google Inc. v AEPD, Mario Costeja González, and was later included as the Rig…

cs.SE2023★ 2 cited

Trust in Software Supply Chains: Blockchain-Enabled SBOM and the AIBOM Future

Boming Xia, Dawen Zhang, Yue Liu +3

The robustness of critical infrastructure systems is contingent upon the integrity and transparency of their software supply chains. A Software Bill of Materials (SBOM) is pivotal…

cs.SE2023

A Chain of AI-based Solutions for Resolving FQNs and Fixing Syntax Errors in Partial Code

Qing Huang, Jiahui Zhu, Zhenchang Xing +3

API documentation, technical blogs and programming Q&A sites contain numerous partial code that can be reused in programming tasks, but often these code are uncompilable due to unr…

cs.CR2023★ 6 cited

Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies

Shidong Pan, Thong Hoang, Dawen Zhang +4

Software applications have become an omnipresent part of modern society. The consequent privacy policies of these applications play a significant role in informing customers how th…

cs.HC2023★ 2 cited

Enhancing Virtual Assistant Intelligence: Precise Area Targeting for Instance-level User Intents beyond Metadata

Mengyu Chen, Zhenchang Xing, Jieshan Chen +2

Virtual assistants have been widely used by mobile phone users in recent years. Although their capabilities of processing user intents have been developed rapidly, virtual assistan…

cs.SE2023★ 4 cited

Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services

Zhenchang Xing, Qing Huang, Yu Cheng +3

Foundation models, such as GPT-4, DALL-E have brought unprecedented AI "operating system" effect and new forms of human-AI interaction, sparking a wave of innovation in AI-native s…

cs.SE2023★ 1 cited

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains

Yu Cheng, Jieshan Chen, Qing Huang +3

The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People…

cs.SE2023★ 1 cited

AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code

Qing Huang, Zhou Zou, Zhenchang Xing +3

Control Flow Graphs (CFGs) are essential for visualizing, understanding and analyzing program behavior. For statically-typed programming language like Java, developers obtain CFGs…

cs.SE2023★ 1 cited

NiCro: Purely Vision-based, Non-intrusive Cross-Device and Cross-Platform GUI Testing

Mulong Xie, Jiaming Ye, Zhenchang Xing +1

To ensure app compatibility and smoothness of user experience across diverse devices and platforms, developers have to perform cross-device, cross-platform testing of their apps, w…

cs.HC2023★ 12 cited

Voicify Your UI: Towards Android App Control with Voice Commands

Minh Duc Vu, Han Wang, Zhuang Li +3

Nowadays, voice assistants help users complete tasks on the smartphone with voice commands, replacing traditional touchscreen interactions when such interactions are inhibited. How…

cs.CL2023

Source Code Data Augmentation for Deep Learning: A Survey

Terry Yue Zhuo, Zhou Yang, Zhensu Sun +5

The increasingly popular adoption of deep learning models in many critical source code tasks motivates the development of data augmentation (DA) techniques to enhance training data…

cs.SE2023★ 1 cited

Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps

Shidong Pan, Dawen Zhang, Mark Staples +4

Privacy regulations protect and promote the privacy of individuals by requiring mobile apps to provide a privacy policy that explains what personal information is collected and how…

cs.SE2023★ 8 cited

Answering Uncertain, Under-Specified API Queries Assisted by Knowledge-Aware Human-AI Dialogue

Qing Huang, Zishuai Li, Zhenchang Xing +4

Developers' API needs should be more pragmatic, such as seeking suggestive, explainable, and extensible APIs rather than the so-called best result. Existing API search research can…

cs.SE2023★ 1 cited

SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics

Dehai Zhao, Zhenchang Xing, Xin Xia +3

Programming screencasts (e.g., video tutorials on Youtube or live coding stream on Twitch) are important knowledge source for developers to learn programming knowledge, especially…

cs.SE2023★ 2 cited

On the Way to SBOMs: Investigating Design Issues and Solutions in Practice

Tingting Bi, Boming Xia, Zhenchang Xing +2

The Software Bill of Materials (SBOM) has emerged as a promising solution, providing a machine-readable inventory of software components used, thus bolstering supply chain security…

cs.CL2023★ 3 cited

A Reference Architecture for Designing Foundation Model based Systems

Qinghua Lu, Liming Zhu, Xiwei Xu +2

The release of ChatGPT, Gemini, and other large language model has drawn huge interests on foundations models. There is a broad consensus that foundations models will be the fundam…