4 citations · 5 across the 6 of their papers we have counts for
6 papers
Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge
Kirill Trapeznikov, Gabriel Mancino-Ball, Jonathan Li +9
The proliferation of generative video technologies has intensified the need for reliable methods to detect and characterize synthetic media. To address this challenge, we organized…
Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
Myke C. Cohen, Mingqian Zheng, Neel Bhandari +6
AI design characteristics and human personality traits each impact the quality and outcomes of human-AI interactions. However, their relative and joint impacts are underexplored in…
Proactive Defense: Compound AI for Detecting Persuasion Attacks and Measuring Inoculation Effectiveness
Svitlana Volkova, Will Dupree, Hsien-Te Kao +4
This paper introduces BRIES, a novel compound AI architecture designed to detect and measure the effectiveness of persuasion attacks across information environments. We present a s…
Building Resilient Information Ecosystems: Large LLM-Generated Dataset of Persuasion Attacks
Hsien-Te Kao, Aleksey Panasyuk, Peter Bautista +5
Organization's communication is essential for public trust, but the rise of generative AI models has introduced significant challenges by generating persuasive content that can for…
Synthetic Audio Forensics Evaluation (SAFE) Challenge
Kirill Trapeznikov, Paul Cummer, Pranay Pherwani +6
The increasing realism of synthetic speech generated by advanced text-to-speech (TTS) models, coupled with post-processing and laundering techniques, presents a significant challen…
Defending Against Social Engineering Attacks in the Age of LLMs
Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee +12
The proliferation of Large Language Models (LLMs) poses challenges in detecting and mitigating digital deception, as these models can emulate human conversational patterns and faci…