4 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
Human, AI, and Hybrid Ensembles for Detection of Adaptive, RL-based Social Bots
Valerio La Gatta, Nathan Subrahmanian, Kaitlyn Wang +2
The use of reinforcement learning to dynamically adapt and evade detection is now well-documented in several cybersecurity settings including Covert Social Influence Operations (CS…
Human-AI Ensembles Improve Deepfake Detection in Low-to-Medium Quality Videos
Marco Postiglione, Isabel Gortner, V. S. Subrahmanian
Deepfake detection is widely framed as a machine learning problem, yet how humans and AI detectors compare under realistic conditions remains poorly understood. We evaluate 200 hum…
SMART: A Social Movement Analysis & Reasoning Tool with Case Studies on #MeToo and #BlackLivesMatter
Valerio La Gatta, Marco Postiglione, Jeremy Gilbert +4
Social movements supporting the UN's Sustainable Development Goals (SDGs) play a vital role in improving human lives. If journalists were aware of the relationship between social m…
Context and Transcripts Improve Detection of Deepfake Audios of Public Figures
Chongyang Gao, Marco Postiglione, Julian Baldwin +6
Humans use context to assess the veracity of information. However, current audio deepfake detectors only analyze the audio file without considering either context or transcripts. W…