Jha, Susmit

30 publications

TMLR 2025 SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection Brian Matejek, Ashish Gehani, Nathaniel D. Bastian, Daniel J Clouse, Bradford J Kline, Susmit Jha

UAI 2025 Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference Colin Samplawski, Adam D. Cobb, Manoj Acharya, Ramneet Kaur, Susmit Jha

NeurIPS 2025 SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb

ICCV 2025 TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision Ayush Gupta, Anirban Roy, Rama Chellappa, Nathaniel D. Bastian, Alvaro Velasquez, Susmit Jha

ICLRW 2025 TeleLoRA: Teleporting Alignment Across Large Language Models for Trojan Mitigation Xiao Lin, Manoj Acharya, Anirban Roy, Susmit Jha

WACV 2025 Zero-Shot Detection of Out-of-Context Objects Using Foundation Models Anirban Roy, Adam Cobb, Ramneet Kaur, Sumit Jha, Nathaniel Bastian, Alexander Berenbeim, Robert Thomson, Iain Cruickshank, Alvaro Velasquez, Susmit Jha

NeurIPSW 2024 Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander Michael Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha

AAAI 2024 Direct Amortized Likelihood Ratio Estimation Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha

NeurIPSW 2024 Investigating LLM Memorization: Bridging Trojan Detection and Training Data Extraction Manoj Acharya, Xiao Lin, Susmit Jha

NeurIPSW 2024 Second-Order Forward-Mode Automatic Differentiation for Optimization Adam D. Cobb, Atilim Gunes Baydin, Barak A. Pearlmutter, Susmit Jha

NeurIPSW 2024 SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb

NeurIPSW 2024 SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb

NeurIPS 2023 AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs Adam Cobb, Anirban Roy, Daniel Elenius, Frederick Heim, Brian Swenson, Sydney Whittington, James Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha

JMLR 2023 Principled Out-of-Distribution Detection via Multiple Testing Akshayaa Magesh, Venugopal V. Veeravalli, Anirban Roy, Susmit Jha

ICCV 2023 TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha

NeurIPSW 2023 Universal Trojan Signatures in Reinforcement Learning Manoj Acharya, Weichao Zhou, Anirban Roy, Xiao Lin, Wenchao Li, Susmit Jha

IJCAI 2022 Detecting Out-of-Context Objects Using Graph Contextual Reasoning Network Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran

CVPR 2022 Dual-Key Multimodal Backdoors for Visual Question Answering Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha

IJCAI 2022 ExplainIt!: A Tool for Computing Robust Attributions of DNNs Sumit Kumar Jha, Alvaro Velasquez, Rickard Ewetz, Laura Pullum, Susmit Jha

ICML 2022 Principal Component Flows Edmond Cunningham, Adam D Cobb, Susmit Jha

NeurIPSW 2022 Responsible Reasoning with Large Language Models and the Impact of Proper Nouns Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha

AAAI 2022 Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha

ICLR 2022 Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen

AAAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

IJCAI 2021 On Smoother Attributions Using Neural Stochastic Differential Equations Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha

AAAI 2020 Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms Tuhin Sahai, Anurag Mishra, Jose Miguel Pasini, Susmit Jha

CoRL 2020 Learning Certified Control Using Contraction Metric Dawei Sun, Susmit Jha, Chuchu Fan

ICLR 2020 On the Need for Topology-Aware Generative Models for Manifold-Based Defenses Uyeong Jang, Susmit Jha, Somesh Jha

NeurIPS 2019 Attribution-Based Confidence Metric for Deep Neural Networks Susmit Jha, Sunny Raj, Steven Fernandes, Sumit K Jha, Somesh Jha, Brian Jalaian, Gunjan Verma, Ananthram Swami

NeurIPS 2018 Learning Task Specifications from Demonstrations Marcell Vazquez-Chanlatte, Susmit Jha, Ashish Tiwari, Mark K Ho, Sanjit Seshia