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Susmit Jha

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

Achievements

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+12 more ↓ πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (13)
🐝 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