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Atul Prakash

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Learn To be Efficient: Build Structured Sparsity in Large Language Models

Feb 13, 2024
Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash

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Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation

Oct 11, 2023
Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Zhuoqing Mao, Chaowei Xiao, Atul Prakash

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Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks

Jul 30, 2023
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash

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CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception

Jun 01, 2023
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Z. Morley Mao, Chaowei Xiao

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Investigating Stateful Defenses Against Black-Box Adversarial Examples

Mar 17, 2023
Ryan Feng, Ashish Hooda, Neal Mangaokar, Kassem Fawaz, Somesh Jha, Atul Prakash

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Coverage-centric Coreset Selection for High Pruning Rates

Oct 28, 2022
Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash

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Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing

May 18, 2022
Ryan Feng, Somesh Jha, Atul Prakash

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Concept-based Explanations for Out-Of-Distribution Detectors

Mar 04, 2022
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash

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Towards Adversarially Robust Deepfake Detection: An Ensemble Approach

Feb 11, 2022
Ashish Hooda, Neal Mangaokar, Ryan Feng, Kassem Fawaz, Somesh Jha, Atul Prakash

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