6 citations · 7 across the 4 of their papers we have counts for
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cs.CR2026
What You See Is Not What AI Gets: DPAgent-in-the-Middle Defense Against AI-Groomed Deceptive Patterns
Zewei Shi, Ruoxi Sun, Haoyang Li +4
Privacy deceptive patterns in web interfaces manipulate users into disclosing personal data, yet existing defenses are fragmented, static, and increasingly vulnerable to manipulati…
cs.CR2025★ 6 cited
50 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications
Zewei Shi, Ruoxi Sun, Jieshan Chen +5
Deceptive patterns (DPs) are user interface designs deliberately crafted to manipulate users into unintended decisions, often by exploiting cognitive biases for the benefit of comp…
cs.CR2023★ 1 cited
Bounded and Unbiased Composite Differential Privacy
Kai Zhang, Yanjun Zhang, Ruoxi Sun +5
The objective of differential privacy (DP) is to protect privacy by producing an output distribution that is indistinguishable between any two neighboring databases. However, tradi…