Sasikanth Kotti

I am currently pursuing my Ph.D at IAB lab from IITJ-Indian Institute of Technology Jodhpur in part-time mode under the guidance of Dr. Mayank Vatsa and Dr. Richa Singh.

I recently completed Master's in Artificial Intelligence (M.Tech) at IITJ-Indian Institute of Technology Jodhpur. I was advised by Dr. Mayank Vatsa and Dr. Richa Singh for my Master's Thesis on "Bias and Fairness in Low Resolution(Very) Image Recognition" at IAB lab.

I was the recepient of Silver Medal and Mrs. Chander Mohini & Mr. Jeewan Kapoor Merit Prize for the best academic performance in the graduating class of 2023 of M.Tech. (Artificial Intelligence) Program at IIT Jodhpur

My current research interests span Computer Vision, Trusted AI, Machine Learning and Deep learning areas.

I'm also a Volunteer Research Engineer at OpenMined where I contribute to Privacy-Preserving technologies in Computer Vision Domain.

News

[November 2023] Recepient of Silver Medal for the best academic performance in the graduating class of 2023 of M.Tech. (Artificial Intelligence) Program(NEW)
[November 2023] Recepient of Mrs. Chander Mohini & Mr. Jeewan Kapoor Merit Prize for the best academic performance in the graduating class of 2023 of M.Tech. (Artificial Intelligence) Program(NEW)
[April 2023] One of the top contributors to the list of datasets for Instruction Tuning Multilingual community research Project at Cohere For AI [Note]
[Jan 2023] Accepted to participate in Research Week with Google 2023 [certificate]
[July 2022] Accepted to CVIT 6th Summer School on AI (With focus on Computer Vision & Machine Learning) [certificate]
[Jan 2022] Accepted to participate in Research Week with Google 2022 [certificate]
[May 2022] Secured 2nd place in NoCode ML a team event conducted by Techfest, IIT Bombay
[July 2021] Secured 2nd place in flax-jax-community-week a team event conducted by Hugging Face for the project CLIP+NeRF: Fewshot Learning, Putting NeRF on a Diet

IIT Jodhpur - Masters Thesis
report / presentation / code /

	On Biased Behavior of GANs for Face Verification Sasikanth Kotti, Mayank Vatsa, Richa Singh Responsbile Computer Vision workshop, ECCV 2022.* arxiv / video / poster
	When Differential Privacy Meets Interpretability: A Case Study Rakshit Naidu, Aman Priyanshu, Aadith Kumar, Sasikanth Kotti, Haofan Wang, Fatemehsadat Mireshghallah Extended abstract at Responsible Computer Vision (RCV) workshop, CVPR 2021. Privacy-Preserving Machine Learning (PPML) workshop, CCS 2021.* arxiv / poster
	DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? Archit Uniyal, Rakshit Naidu, Sasikanth Kotti, Sahib Singh, Patrik Joslin Kenfack, Fatemehsadat Mireshghallah, Andrew Trask Machine Learning for Data (ML4DATA) workshop, ICML 2021. Privacy-Preserving Machine Learning (PPML) workshop, CCS 2021.* arxiv / code / poster
	Benchmarking Differentially Private Residual Networks for Medical Imagery Sahib Singh, Harshvardhan Sikka, Sasikanth Kotti, Andrew Trask International Conference on Machine Learning (2020) Workshop - Healthcare Systems (HSYS) workshop, ICML 2020.* arxiv / code / poster

These include coursework, side projects and unpublished research work.

	Database Tuning with NLP IIT Jodhpur CSL7090: Software and Data Engineering 2022-04-18 presentation / code /
	Have we met before: ID'ing face IIT Jodhpur CSL7530: Advanced Machine Learning 2021-12-01 report / presentation /
	FairMIA: The heuristic based Fair Influence Maximization IIT Jodhpur CSL7390: Social Network Analysis 2021-11-15 report / presentation / code /
	Efface the Haze IIT Jodhpur CSL7360: Computer Vision 2021-06-12 report / presentation / code /
	Machine Translation IIT Jodhpur CSL7340: Natural Language Processing 2021-06-09 report / presentation /

Reviewer for Tiny Papers 2023, 2024, a DEI initiative at ICLR

Reviewer for Machine Learning for Health (ML4H) 2023 Symposium

Reviewer for NeurIPS 2023 Workshop - XAI in Action: Past, Present, and Future Applications

Design and source code from Leonid Keselman's website