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Atul Prakash

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University of Michigan

United States

Research Interests

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Professors in United States Professors in Artificial Intelligence Artificial Intelligence professors in United States

Recent Grants

Grant: Close

EAGER: SaTC-EDU: Identifying Educational Conceptions and Challenges in Cybersecurity and Artificial Intelligence

Open Date: 2020-09-01

Close Date: 2024-08-31

Grant: Close

EAGER: USBRCCR: Collaborative: Lightweight Policy Enforcement of Information Flows in IoT Infrastructures

Open Date: 2017-09-01

Close Date: 2020-08-31

Grant: Close

CPS: Synergy: Collaborative Research: Support for Security and Safety of Programmable IoT Systems

Open Date: 2017-01-01

Close Date: 2021-12-31

Grant: Close

TWC: Small: Discovering and Restricting Undesirable Information Flows Between Multiple Spheres of Activities

Open Date: 2013-09-01

Close Date: 2017-08-31

Grant: Close

Context-Aware Information Access for Rapid On-Site Decision Making in Construction, Maintenance, and Inspection of Civil Infrastructure Systems

Open Date: 2009-09-01

Close Date: 2014-08-31

Articles (13)

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2026

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

Year:

2022

Collaborators (1)

Shirin Nilizadeh

The University of Texas at Arlington

UNITED STATES

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Atul Prakash

Research Interests

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Recent Grants

Articles (13)

Taming Data Challenges in ML-based Security Tasks Using Generative AI

Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale

Adaptive Skeleton Graph Decoding

ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling

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

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails

Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks

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

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation

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

Investigating Stateful Defenses Against Black-Box Adversarial Examples

Concept-based Explanations for Out-Of-Distribution Detectors

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

Collaborators (1)

Shirin Nilizadeh

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