5 papers
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…
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…
Defending a City from Multi-Drone Attacks: A Sequential Stackelberg Security Games Approach
Dolev Mutzari, Tonmoay Deb, Cristian Molinaro +3
To counter an imminent multi-drone attack on a city, defenders have deployed drones across the city. These drones must intercept/eliminate the threat, thus reducing potential damag…
Quantifying the Risk of Pastoral Conflict in 4 Central African Countries
Lirika Solaa, Youdinghuan Chen, Samantha K. Murphy +1
Climate change is becoming a widely recognized risk factor of farmer-herder conflict in Africa. Using an 8 year dataset (Jan 2015 to Sep 2022) of detailed weather and terrain data…