Debabrota Basu (দেবব্রত বসু)
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  • Home
  • Academic Résumé
  • Research
  • Publications
  • Teaching
  • Research Talks
  • Contact
  • Art and Articles

Selected Academic Talks

  • February 2024
    The Privacy Game: Attacks with and Defenses for Online ML Algorithms
    Workshop Inria- University of Waterloo- Université de Bordeaux, Bordeaux, France.
  • November 2023
    When Privacy meets Partial Information: Refining the Differential Privacy Definitions, Lower Bounds, and Algorithm Designs for Sequential Learning
    CWI, Amsterdam, Netherlands.
  • August 2023
    The Privacy Game: Attacks with and Defenses for Online ML Algorithms
    CNRS@CREATE, National University of Singapore, Singapore.
  • August 2023
    Auditing Bias of Machine Learning Algorithms: Tools and Overview
    IJCAI Tutorial, Macau. (Website)
  • July 2023
    From Noisy Fixed-Point Iterations to A Unified Theory of Private Optimisation for Centralised and Federated Learning
    Indian Statistical Institute, Kolkata, India. (Slides)
  • July 2023
    AI for Agricultural Sciences: Opportunities, Developments, and Challenges
    Bihar Agricultural University, India. (Slides)
  • June 2023
    Online Regression with Instrumental Variables: Regrets under Endogeneity and Bandit Feedback
    HyAIAI Meeting, Paris, France. (Slides)
  • April 2023
    The Privacy Game: Attacks with and Defenses for Online ML Algorithms
    Journée Security@CRIStAL, University of Lille, France.
  • February 2023
    Learning Theory for Dynamical Systems: Learning to Identify and Control Dynamical Systems
    JSPS Japan-Singapore Joint Seminars, National Institute of Informatics, Japan.
  • February 2023
    Marich: A Query-efficient Distributionally-Equivalent Model Extraction Attack using Public Data
    Workshop on Privacy Preserving AI (PPAI), AAAI, Washington, USA. (Slides)
  • February 2023
    Farm-Gym: A modular reinforcement learning platform for agronomy games.
    Workshop on AI for Agriculture and Food Systems, AAAI, Washington, USA.
  • January 2023
    Humanising Decision Making: Bridging Reinforcement Learning and Responsible AI
    Seminars of Advanced Computing and Microelectronics Unit, Indian Statistical Institute, Kolkata, India.
  • September 2022
    "How Biased is Your Algorithm?": Auditing and Explaining Unfairness in ML
    Workshop@Comète on Ethical AI, Inria Saclay, France. (Slides)
  • August 2022
    An Introduction to Ethical AI: Ethics by Design
    CS Research Seminars, Jadavpur University, Kolkata, India.
  • July 2022
    Algorithmic Audits: Regulating and Explaining ML Algorithms
    Ministry of Economy and Finance, Paris, France.
  • June 2022
    Humanising Decision Making: Bridging Reinforcement Learning & Responsible AI
    Computing and Information Science, Cornell University, USA.
  • April 2022
    Humanising Decision Making: Bridging Reinforcement Learning & Responsible AI
    30 MIN. de sciences, Inria Lille, France. (Slides)
  • March 2022
    Together & Fair: On Meritocracy in Optimal Set Selection
    Fairness in Machine Learning Day, Inria Lille, France.(Slides)
  • March 2022
    Verification and Explanation of Unfairness in Machine Learning
    Valda Seminars, ENS-PSL University, Paris, France.
  • Feb 2022
    Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
    AAAI, Vancouver, Canada/Virtual.
  • June 2021
    SENTINEL: Quantifying Composite Uncertainty and Its Application in Risk-sensitive Reinforcement Learning
    Learning Machines Seminar, RISE (Research Institute of Sweden), Virtual. (Video)
  • November 2020
    Privacy in Multi-armed Bandits: Fundamental Definitions & Lower Bounds on Performance
    Data Science Seminars, University of Lille, France/Virtual.(Slides)
  • June 2020
    Epsilon-net induced lazy witness complex for topological data analysis
    Applied Algebraic Topology Network Seminar, USA/Virtual. (Video)
  • March 2020
    Humanising Artificial Intelligence
    Chalmers CHAIR Day, Gothenburg, Sweden.
  • June 2017
    Learn-as-you-go with Megh: Efficient Live Migration of Virtual Machines
    IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, USA. (Poster)
  • April 2017
    Sequential Vessel Speed Optimization under Dynamic Weather Conditions
    5th International Maritime-Port Technology and Development Conference (MTEC 2017), Singapore. (Slides)
  • January 2017
    Cost-Model Oblivious Database Tuning with Reinforcement Learning
    Research seminar, IPAL (Image & Pervasive Access Lab), National University of Singapore, Singapore.(Poster)
  • April 2016
    Efficient Live Migration of Virtual Machines: A Learning Perspective
    CREATE Energy and Environmental Sustainability Solutions for Megaicities Seminar, National University of Singapore.
  • February 2016
    Reinforcement Learning for Virtual Machines Migration
    NUS-HUST-NICT Workshop, School of Computing, National University of Singapore.
  • November 2015
    Lian Cheng & Megh: Introduction to Automated Cloud
    CREATE Energy and Environmental Sustainability Solutions for Megaicities Meeting, Shanghai Jio Tong University, Shanghai, China. (Slides | Poster)
  • September 2015
    Cost-Model Oblivious Database Tuning with Reinforcement Learning
    26th International Conference on Database and Expert Systems Applications - DEXA 2015, Valencia, Spain (Slides)

From The Ancient Times

  • November 2016
    An Algebraic Perspective of Probability Theory and Central Limit Theorem
    Chair: Dr. Choi Kwok Pui. ST5214 course presentation, Department of Statistics and Applied Probability, Faculty of Science, National University of Singapore.(Reference book: Ruzsa, Imre, and Gábor J. Székely. Algebraic probability theory. John Wiley & Sons Inc, 1988. | Reference paper)
  • November 2015
    Geometric Formulation of Quantum Mechanics with An Application in Quantum Information Theory
    Chair: Dr. Wilkin, Graeme Peter Desmond. MA5253 course presentation, Department of Mathematics, Faculty of Science, National University of Singapore. (Reference paper 1 | Reference paper 2)
  • November 2015
    Evolution of Tweets over Time
    (with Akanksha Tiwari, Ashish D. Dandekar, Astha Jain, Vidya M. S. Prasad) Chair: Dr. Cheng Li. CS5340 course project presentation, Department of Computer Science, School of Computing, National University of Singapore. (Poster)
  • October 2015
    Chinese Remainder Theorem
    Chair: Prof. Terrence Sim. CS1231R guest lecture, Department of Computer Science, School of Computing, National University of Singapore. (Slides)
  • April 2015
    Analysis of Non-linear Dimensionality Reduction Techniques
    Chair: Prof. Terrence Sim. CS6240 course project presentation, Department of Computer Science, School of Computing, National University of Singapore. (Slides)
  • March 2015
    A Unified Framework for Probabilistic Component analysis
    Chair: Prof. Terrence Sim. CS6240 course presentation, Department of Computer Science, School of Computing, National University of Singapore.(Reference paper | Slides)
  • November 2014
    Dynamic Intention Aware Motion Planning
    (with Jay Nandy) Chair: Prof. David Hsu. STePS: The Fifth School of Computing Term Project Showcase, Department of Computer Science, School of Computing, National University of Singapore. (Poster)
  • November 2014
    Dynamic Intention Aware Motion Planning
    (with Jay Nandy) Chair: Prof. David Hsu. CS6244 project presentation, Department of Computer Science, School of Computing, National University of Singapore. (Slides)
  • October 2014
    Solving Large POMDPs using Real Time Dynamic Programming
    (with Jaemin Son) Chair: Prof. David Hsu. CS6244 course presentation, Department of Computer Science, School of Computing, National University of Singapore.(Reference paper | Slides)
  • September 2014
    An Introduction to Communication Complexity and its Applications
    Chair: Prof. Seth Gilbert. "CS6101: Exploration of Computer Science Research" presentation, Department of Computer Science, School of Computing, National University of Singapore. (Reference book)
  • December 2013
    A Novel Improved Discrete ABC Algorithm For Manpower Scheduling Problem in Re-manufacturing
    4th Joint International Conference SEMMCO and FANCCO 2013, Chennai, India.
  • December 2013
    Multipopulation-based Differential Evolution with Speciation-based response to Dynamic Environments
    4th Joint International Conference SEMMCO and FANCCO 2013, Chennai, India.
  • December 2012
    A Novel Strategy Adaptive Genetic Algorithm with Greedy Local Search for the Permutation Flowshop Scheduling Problem
    3rd Joint International Conference SEMMCO and FANCCO 2012, Bhubaneswar, India.
  • August 2012
    Energy and Economics: Present and Future
    ABB-JDF Engineering Education Event, ABB Research Centre, Baden-Dättwil, Switzerland.