Atul Prakash
13 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27)
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Keyword Pioneer
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Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(12)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(7)
Application Areas
(7)
Core AI
(7)
Deep Learning
(5)
Optimization & Theory · Machine Learning
(3)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Techniques
(2)
Computer Vision
(1)
Security & Privacy
(1)
Architectures
(1)
Domain-Specific
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
adversarial perturbation
(3)
adversarial example
(2)
large language model
(2)
black-box attack
(2)
coreset selection
(2)
self-supervised learning
(2)
deep neural network
(2)
model stealing
(2)
gradient estimation
(1)
deep clustering
(1)
model robustness
(1)
ai safety
(1)
adversarial robustness
(1)
random sampling
(1)
adversarial training
(1)
multimodal learning
(1)
ensemble learning
(1)
3d object detection
(1)
adversarial attack
(1)
training efficiency
(1)
Papers
ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
ICLR 2025
Test-Time Canonicalization by Foundation Models for Robust Perception
ICML 2025
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
ICLR 2024
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
WACV 2024
Learn To be Efficient: Build Structured Sparsity in Large Language Models
NeurIPS 2024
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
ECCV 2024
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
ACL 2024
Concept-based Explanations for Out-of-Distribution Detectors
ICML 2023
Coverage-centric Coreset Selection for High Pruning Rates
ICLR 2023
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
CVPR 2021
Protecting DNNs from Theft using an Ensemble of Diverse Models
ICLR 2021
Efficient Adversarial Training With Transferable Adversarial Examples
CVPR 2020
Robust Physical-World Attacks on Deep Learning Visual Classification
CVPR 2018