Abhijith Sharma
4 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Deep Learning
(3)
Machine Learning
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Security & Privacy
(1)
Application Areas
(1)
Architectures
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Privacy
(1)
Processing
(1)
Keywords
adversarial patch
(2)
patch attack
(2)
total variation
(1)
adversarial attack
(1)
spiking neural network
(1)
convolutional neural network
(1)
exploration strategy
(1)
generative flow network
(1)
artificial neural network
(1)
training loss
(1)
privacy risk
(1)
black-box setting
(1)
membership inference attack
(1)
mode collapse
(1)
sample diversity
(1)
robust prediction
(1)
total variation denoising
(1)
adversarial patch defense
(1)
image resurfacing
(1)
patch attack mitigation
(1)
Papers
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets
AAAI 2026
On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
UAI 2025
Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction
WACV 2024
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)
AAAI 2024