← Authors

Susmit Jha

24 papers · 2018–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (49) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ† Keyword Champion ⚑ Prolific Year (7) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (109) πŸ“ˆ Trend Setter πŸ’Ž Century Club (22)

Conferences

AAAI (6) IJCAI (3) NIPS (3) ICCV (2) ICLR (2) CORL (1) CVPR (1) EMNLP (1) ICML (1) JMLR (1) NAACL (1) UAI (1) WACV (1)

Top co-authors

Anirban Roy (10) Alvaro Velasquez (6) Ramneet Kaur (5) Adam D. Cobb (4) Sumit Jha (3) Xiao Lin (3) Manoj Acharya (3) Rickard Ewetz (3) Ayush Gupta (2) Indranil Sur (2)

Keywords

neural network (3) conformal prediction (3) attribution method (3) adversarial attack (2) stochastic differential equation (2) multimodal learning (2) neural stochastic differential equation (2) out-of-distribution detection (2) combinatorial optimization (2) anomaly detection (2) deep neural network (2) visual question answering (2) integrated gradient (2) backdoor defense (1) model robustness (1) imitation learning (1) object detection (1) neural network security (1) adversarial learning (1) point cloud (1)

Papers

On the Dataless Training of Neural Networks AAAI 2026
Privacy Preserving In-Context-Learning Framework for Large Language Models AAAI 2026
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference UAI 2025
Zero-Shot Detection of Out-of-Context Objects using Foundation Models WACV 2025
TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision ICCV 2025
Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024
Direct Amortized Likelihood Ratio Estimation AAAI 2024
Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models ICCV 2023
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs NIPS 2023
Dual-Key Multimodal Backdoors for Visual Question Answering CVPR 2022
Principal Component Flows ICML 2022
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network IJCAI 2022
ExplainIt!: A Tool for Computing Robust Attributions of DNNs IJCAI 2022
Trigger Hunting with a Topological Prior for Trojan Detection ICLR 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations AAAI 2022
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022
On Smoother Attributions using Neural Stochastic Differential Equations IJCAI 2021
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses ICLR 2020
Learning Certified Control Using Contraction Metric CORL 2020
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms AAAI 2020
Attribution-Based Confidence Metric For Deep Neural Networks NIPS 2019
Learning Task Specifications from Demonstrations NIPS 2018