DPAgent-in-the-Middle: Agentic Defense and Repair Against AI-Groomed Deceptive Patterns
LLMs now weaponize privacy dark patterns more effectively than static approaches, requiring agentic countermeasures for GDPR-compliant interface design.
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arXiv:2606.06914v1 Announce Type: new Abstract: Privacy deceptive patterns in web interfaces systematically manipulate users into disclosing personal data, yet existing defenses are fragmented, static, and increasingly vulnerable to manipulation by large language models. Moreover, data voids, areas of information scarcity within the web ecosystem, create fertile ground for adversaries to inject misleading content that can be scraped and learned by AI systems, thereby amplifying both deceptive d
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