Dr. Murari Mandal

Assistant Professor, KIIT Bhubaneswar

Post-Doc, National University of Singapore (NUS)

murarimandal.jpeg

101-H, Campus 14

KIIT Bhubaneswar

Odisha, India 751024

I am an Assistant Professor at the School of Computer Engineering, KIIT Bhubaneshwar. I lead the RespAI Lab where we work on the topics related to responsible AI, machine unlearning, data valuation, ethical use of large language models (LLMs) and diffusion models. My research work has been published in ICML, KDD, AAAI, ACM MM, CVPR. Check out my research group’s website here: RespAI Lab. I regularly serve as a Reviewer to NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, and ECCV. Indexed in CSRankings.

Research Impact: My pioneering works on Machine Unlearning is cited by Anthropic, Yoshua Bengio, Hugo Larochelle, Google Deepmind, University of Cambridge, etc. Our works Fast Unlearning [TNNLS], Zero shot Unlearning [TIFS], and Bad Teacher [AAAI] are among top 10 highly cited papers in the field of Machine Unlearning. Ayush and Vikram (co-authors and my students) have joined EPFL and University of Cambridge, respectively.

Earlier, I was a Postdoctoral Research Fellow at National University of Singapore (NUS). I worked with Prof. Mohan Kankanhalli in the School of Computing. Long time back, I graduated in 2011 with a Bachelors in Computer Science from BITS, Pilani. Find me on X @murari_ai.

"When you go to hunt, hunt for rhino. If you fail, people will say anyway it was very difficult. If you succeed, you get all the glory"






Research Interests

  • Large Language Models
  • Diffusion Models
  • Regulatable AI
  • Machine Unlearning
  • Data Valuation
  • Privacy and Security in AI
  • Data Privacy and Data Synthesis
  • Explaianable AI

News


Nov 18, 2024 I will be presenting our recent works on Unlearning in Generative AI Unlearning in Diffusion Models, Unlearning in LLMs at IndoML 2024. Would love to connect and discuss all things Gen AI!
Oct 25, 2024 Preprint of UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs is available on Arxiv.
Oct 10, 2024 Preprint of ConDa: Fast Federated Unlearning with Contribution Dampening is available on Arxiv.
Sep 11, 2024 Preprint of Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models is available on Arxiv.
Sep 10, 2024 Preprint of A Unified Framework for Continual Learning and Machine Unlearning is available on Arxiv.
Jul 13, 2024 Invited Guest in a Panel Discussion on “AI: The Dual Edge of Innovation”, World Salon. You can find more details about the event on LinkedIn and World Salon.
May 20, 2024 Preprint of “Multimodal Recommendation Unlearning” paper is available on Arxiv
May 10, 2024 EcoVal Data Valuation Paper Accepted to KDD-2024, Barcelona.
Feb 10, 2024 Received the Google Cloud Education Grant for teaching Natural Language Processing at KIIT Bhubaneswar. [Grant Amount: INR 3,16,000]
Nov 10, 2023 Delivered a talk on Machine Unlearning at BITS Pilani, Pilani Campus. PPT
Oct 23, 2023 Preprint of “Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation” paper is available on Arxiv
Sep 10, 2023 Received 30 Lacs SERB-DST Start-up Research Grant (SRG) to further my work in the field of Machine Unlearning and AI Regulation
Jun 10, 2023 Received SERB-ITS Travel grant to present our paper in ICML-2023, Honolulu, Hawaii, USA
May 25, 2023 paper accepted in IEEE Transactions on Information Forensics and Security
Apr 10, 2023 1 paper accepted in ICML 2023, Hawaii Convention Center, USA


Selected Publications


  1. deep-regression-unlearning.png
    Deep Regression Unlearning
    Ayush Kumar Tarun ,  Vikram Singh Chundawat ,  Murari Mandal , and 1 more author
    In Proceedings of the 40th International Conference on Machine Learning , 23–29 jul 2023
  2. ecoval.png
    EcoVal: An Efficient Data Valuation Framework for Machine Learning
    Ayush K Tarun ,  Vikram S Chundawat ,  Murari Mandal , and 3 more authors
    23–29 jul 2024
  3. bad_teaching.png
    Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher
    Vikram S Chundawat ,  Ayush K Tarun ,  Murari Mandal , and 1 more author
    Proceedings of the AAAI Conference on Artificial Intelligence, Jun 2023