About me
I am a 3rd year PhD candidate at University of California, Davis - ECE Department, advised by Prof. Chen-Nee Chuah, focusing on Security and Privacy of Computer Vision. I am currently an PhD ML Engineer Intern at Cisco under Prashanth Arun.
Previously:
- Spring & Summer 2025: Applied Scientist intern at Amazon Ring (Sunnyvale, CA) under Noranart (Sol) Vesdapunt and Ning Zhou.
- Summer 2023: PhD Research Intern at Sony AI - PPML team under the mentorship of Dr. Lingjuan Lv and Dr. Vivek Sharma.
- Summer 2022: ML Research Engineer Intern at Sony - Imaging & Sensing under Mr. Hideshi Yamada.
Research Interests: Privacy-Preserving Computer Vision, Multi-Modal LLMs, Vision-Language Models, Generative AI
Selected Publications
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning
Kartik Patwari*, Dongjie Chen*, Zhengfeng Lai, Xiaoguang Zhu, Samson Cheung, Chen-Nee Chuah
Preprint , March 2025
Paper Code
Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data
Kartik Patwari*, David Schneider*, Xiaoxiao Sun, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma*
Preprint , December 2024
Paper Code
PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
Kartik Patwari*, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma*
International Conference on Machine Learning (ICML) , July 2024
Paper Code Poster Website
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News
💼📊 Joined Cisco Systems (San Jose, CA) as an ML Engineer Intern! I will be working on prompt injection attacks on multimodal models in AI defense team.
💼📊 Joined Amazon (Sunnyvale, CA) as an Applied Scientist Intern! I will be working on vision-language models in the Ring Devices team.
📄 New paper, “Co-HSF: Resource-Efficient One-Shot Semi-Supervised Adaptation of Histopathology Foundation Models” is accepted at AAAI Spring Symposium on AI for Health !