
Harsh Chaudhari
I recenetly completed my Masters (via Research Track) from Indian Institute of Science under Dr.Arpita Patra and actively looking for PhD opportunities. My primary interest lies in the intersection of Machine Learning and Security. My Masters thesis was mainly focused in the area of Privacy Preserving Machine Learning using Multiparty Computation (MPC), where I worked on building efficient protocols for secure training and prediction of ML models like Linear Regression, Logistic Regression, SVM and DNNs for Honest Majority Setting. I am also interested to explore other areas in ML and Security such as Federated Learning and Adversarial Machine Learning. I have attached my CV for a more detailed decription of the projects that I have worked on.
Documents
Sessions in which Harsh Chaudhari attends
- Opening remarks
- Signup required
- 9:40 AM EDT - 9:50 AM EDT | 10 minutes
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- Track: Privacy-preserving Machine Learning
- Signup required
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9:50 AM EDT
- 11:30 AM EDT
| 1 hour 40 minutes
Part of: Session 1 - Talk
- Keynote - Michael Kearns: The Ethical Algorithm
- Signup required
- 10:00 AM EDT - 11:30 AM EDT | 1 hour 30 minutes
- Keynote
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- Town hall
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- 10:45 AM EDT - 11:45 AM EDT | 1 hour
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- Award session
- Signup required
- 11:10 AM EDT - 11:40 AM EDT | 30 minutes
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- HotPETs _ Session 1: My Tool is Cool
- Signup required
- 9:30 AM EDT - 10:20 AM EDT | 50 minutes
- Talk
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- HotPETs _ Keynote by Karen Levy: Privacy Threats in Intimate Relationships
- Signup required
- 10:30 AM EDT - 11:30 AM EDT | 1 hour
- Keynote
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