Schedule

Attend the workshop: neurips.cc/virtual/2022/workshop/49959

All slots are provided in Central Standard Time (CST) using a 24h format. Use this time zone converter to convert these times to your local time zone.

Time (CST)	Event
08:45 - 09:00	Introduction and Opening Remarks
09:00 - 09:30	Invited Talk by Prof. Aleksander Mądry
09:30 - 09:45	Contributed Talk #1: Revisiting Robustness in Graph Machine Learning
09:45 - 10:00	Contributed Talk #2: Controllable Attack and Improved Adversarial Training in Multi-Agent Reinforcement Learning
10:00 - 10:30	Invited Talk by Prof. Milind Tambe
10:30 - 10:40	Coffee Break I
10:40 - 11:30	Morning Poster Session
11:30 - noon	Invited Talk by Prof. Nika Haghtalab
noon - 12:30	Invited Talk by Prof. Kamalika Chaudhuri
12:30 - 13:00	Invited Talk by Prof. Been Kim
13:00 - 14:00	Lunch Break

14:00 - 14:30	Invited Talk by Prof. Yi Ma
14:30 - 15:00	Invited Talk by Prof. Dorsa Sadigh
15:00 - 15:30	Invited Talk by Prof. Marco Pavone
15:30 - 15:40	Contributed Talk #3: DensePure: Understanding Diffusion Models towards Adversarial Robustness
15:40 - 16:30	Afternoon Poster Session
16:30 - 16:45	Contributed Talk #4: Differentially Private Bias-Term only Fine-tuning of Foundation Models
16:45 - 17:00	Contributed Talk #5: TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
17:00 - 17:15	Contributed Talk #6: zPROBE: Zero Peek Robustness Checks for Federated Learning
17:15 - 18:00	Panel Discussion
	Panelists: Prof. Kamalika Chaudhuri, Prof. Been Kim, Prof. Dorsa Sadigh
18:00	Closing Remarks
19:00	(Unofficial In-person Meet-up at NYC: register with this link)