3 papers
cs.LG2026
Targeted Label-Flipping and Oversampling Attacks on Federated Conditional GANs
Panav Shah, Avishek Ghosh
In a federated learning setup for GANs, several adversarial attacks are possible. One such attack is label flipping, in which malicious clients deliberately alter label information…
cs.CV2026
Improving Visual Grounding in Remote Sensing via Cluster-Guided Refinement and Model Ensemble Voting
Panav Shah, Geet Sethi, Ashutosh Gandhe
Visual grounding aims to locate image regions that correspond to natural language descriptions and is a key component of interpretable vision systems. In remote sensing imagery, gr…
cs.CV2026
DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery
Geet Sethi, Panav Shah, Ashutosh Gandhe +1
Diffusion models have emerged as powerful tools for a wide range of vision tasks, including text-guided image generation and editing. In this work, we explore their potential for o…