activity
20232025
most citedTo Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

19 citations · 65 across the 13 of their papers we have counts for

collaborators

13 papers

cs.SE2025

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines

Xiwei Xu, Hans Weytjens, Dawen Zhang +3

Recent studies show that 60% of LLM-based compound systems in enterprise environments leverage some form of retrieval-augmented generation (RAG), which enhances the relevance and a…

cs.SE2024★ 2 cited

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems

Dawen Zhang, Xiwei Xu, Chen Wang +2

Significant efforts has been made to expand the use of Large Language Models (LLMs) beyond basic language tasks. While the generalizability and versatility of LLMs have enabled wid…

cs.SE2024

Blockchain-Enabled Accountability in Data Supply Chain: A Data Bill of Materials Approach

Yue Liu, Dawen Zhang, Boming Xia +4

In the era of advanced artificial intelligence, highlighted by large-scale generative models like GPT-4, ensuring the traceability, verifiability, and reproducibility of datasets t…

cs.CR2024★ 1 cited

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation

Shidong Pan, Zhen Tao, Thong Hoang +7

Privacy policies have emerged as the predominant approach to conveying privacy notices to mobile application users. In an effort to enhance both readability and user engagement, th…

cs.NI2023★ 2 cited

Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright

Dawen Zhang, Boming Xia, Yue Liu +6

The World Wide Web, a ubiquitous source of information, serves as a primary resource for countless individuals, amassing a vast amount of data from global internet users. However,…

cs.SE2023★ 19 cited

Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective

Dawen Zhang, Boming Xia, Yue Liu +6

The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data pat…

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.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.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.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★ 19 cited

To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

Dawen Zhang, Shidong Pan, Thong Hoang +6

The right to be forgotten (RTBF) is motivated by the desire of people not to be perpetually disadvantaged by their past deeds. For this, data deletion needs to be deep and permanen…