1 citations · 1 across the 2 of their papers we have counts for
3 papers
Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data
Kartik Patwari, David Schneider, Xiaoxiao Sun +3
Growing privacy concerns and regulations like GDPR and CCPA necessitate pseudonymization techniques that protect identity in image datasets. However, retaining utility is also esse…
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
Dongjie Chen, Kartik Patwari, Zhengfeng Lai +3
Existing SFDA methods struggle to fully use pre-trained knowledge and often rely on a single model's predictions or handcrafted prompts, limiting robustness under domain shift. Mul…
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora, Kartik Patwari, Syed Mahbub Hafiz +2
The increasing size of Deep Neural Networks (DNNs) poses a pressing need for model compression, particularly when employed on resource constrained devices. Concurrently, the suscep…