Presenter: Bibek Upadhayay(PhD Candidate – SAIL Lab)Time: Friday 03/31/2023, 12 pm – 1 pm ET Place: Buckman 233ARecording: TBA Abstract: Machine learning models are known to be vulnerable to adversarial […]
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Presenter: Binesh Kumar (PhD Candidate – SAIL Lab)Time: Friday 03/07/2023, 5pm – 6pm ETRecording: TBA Abstract: Cancer is one of the leading causes of death worldwide, causing nearly 10 million […]
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Presenter: Nancirose Piazza (PhD Candidate- SAIL Lab)Time: Friday 03/03/2023, 2pm – 3pm ET Place: Buckman Hall,Data Science Lab 233ARecording: TBA Abstract: In Cooperative Multi-Agent Reinforcement Learning, there are training time […]
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The medical device industry is leaping forward by relying on electronics to improve life-saving medical devices’ safety and performance. The complex electronics, including microchips and FPGAs, run powerful software that […]
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17 Feb 2023 Eyewitness News 3 : Tesla Recall
Read More 8 Feb 2023 Eyewitness News 3: Risks of oversharing on social media
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Dear Binesh Kumar, We are thrilled to hear that you have successfully passed your Ph.D. qualifying exam on Data-Driven Approaches to Personalized Precision Oncology and have become a Ph.D. candidate. […]
Read MoreCongratulations on the acceptance of your paper titled “Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP)” This is a significant achievement that reflects your hard work, dedication, and expertise in the field […]
Read MoreCongratulations on the acceptance of your paper titled “Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor” This is a significant achievement that reflects […]
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