2 papers
cs.CV2026
Adaptive Gated Deepfake Detection for Low-Resolution and Resource-Constrained Environments
Vaishnavi Sen, Cody Laurie, Rashida Hasan
Deepfake detection models often rely on high-quality inputs, fixed inference paths, and computationally expensive architectures, limiting their use in low-resolution and resource-c…
cs.LG2026
Real-Time Proactive Anomaly Detection via Forward and Backward Forecast Modeling
Luis Olmos, Rashida Hasan
Reactive anomaly detection methods, which are commonly deployed to identify anomalies after they occur based on observed deviations, often fall short in applications that demand ti…