Arjun Nitin Bhagoji
10 papers · 2018–2023 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver
🚀
Conference Pioneer
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI · Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Optimization & Theory
(3)
Application Areas
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
neural network
(4)
adversarial learning
(4)
adversarial robustness
(3)
sample complexity
(2)
backdoor attack
(2)
model poisoning
(2)
adversarial defense
(2)
federated learning
(2)
adversarial example
(2)
robust optimization
(1)
deep learning
(1)
pac learning
(1)
neural network optimization
(1)
vc dimension
(1)
representation learning
(1)
robust classification
(1)
image classification
(1)
0-1 loss
(1)
adversarial classification
(1)
multi-class classification
(1)
Papers
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
NeurIPS 2023
Finding Naturally Occurring Physical Backdoors in Image Datasets
NeurIPS 2022
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
AISTATS 2022
Understanding Robust Learning through the Lens of Representation Similarities
NeurIPS 2022
Backdoor Attacks Against Deep Learning Systems in the Physical World
CVPR 2021
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
ICML 2021
Analyzing Federated Learning through an Adversarial Lens
ICML 2019
Lower Bounds on Adversarial Robustness from Optimal Transport
NeurIPS 2019
PAC-learning in the presence of adversaries
NeurIPS 2018
Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms
ECCV 2018