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20182026
most citedCC2Vec: Distributed Representations of Code Changes

175 citations · 540 across the 25 of their papers we have counts for

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Showing 2023Show all

13 papers · 1 filter

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.SE2023★ 1 cited

Are We Ready to Embrace Generative AI for Software Q&A?

Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong +8

Stack Overflow, the world's largest software Q&A (SQA) website, is facing a significant traffic drop due to the emergence of generative AI techniques. ChatGPT is banned by Stack Ov…

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.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.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★ 2 cited

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues

Zhou Yang, Chenyu Wang, Jieke Shi +5

Artificial Intelligence systems, which benefit from the availability of large-scale datasets and increasing computational power, have become effective solutions to various critical…

cs.CR2023★ 63 cited

Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges

Linh T. Nguyen, Lam Duc Nguyen, Thong Hoang +7

Various data-sharing platforms have emerged with the growing public demand for open data and legislation mandating certain data to remain open. Most of these platforms remain opaqu…

cs.CR2023

Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation

Jiamou Sun, Zhenchang Xing, Qinghua Lu +4

Due to convenience, open-source software is widely used. For beneficial reasons, open-source maintainers often fix the vulnerabilities silently, exposing their users unaware of the…

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…