22 citations · 33 across the 6 of their papers we have counts for
6 papers
Rethinking Agent Security as a Networking Problem
Van Tran, Taveesh Sharma, Tajveer Singh Dhesi +1
AI agents are rapidly becoming more capable and widely deployed, promising substantial gains in productivity and enabling new classes of applications. However, their growing autono…
"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products
Lan Gao, Oscar Chen, Rachel Lee +3
While recent research has focused on developing safeguards for generative AI (GAI) model-level content safety, little is known about how content moderation to prevent malicious con…
MYCROFT: Towards Effective and Efficient External Data Augmentation
Zain Sarwar, Van Tran, Arjun Nitin Bhagoji +3
Machine learning (ML) models often require large amounts of data to perform well. When the available data is limited, model trainers may need to acquire more data from external sou…
Dark Patterns in the Opt-Out Process and Compliance with the California Consumer Privacy Act (CCPA)
Van Hong Tran, Aarushi Mehrotra, Ranya Sharma +4
To protect consumer privacy, the California Consumer Privacy Act (CCPA) mandates that businesses provide consumers with a straightforward way to opt out of the sale and sharing of…
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies
Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng +7
Moderating user-generated content on online platforms is crucial for balancing user safety and freedom of speech. Particularly in the United States, platforms are not subject to le…
Measuring Compliance with the California Consumer Privacy Act Over Space and Time
Van Tran, Aarushi Mehrotra, Marshini Chetty +3
The widespread sharing of consumers personal information with third parties raises significant privacy concerns. The California Consumer Privacy Act (CCPA) mandates that online bus…