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20232026
most citedTo Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods

19 citations · 45 across the 13 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

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★ 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…