Apurva Narayan

71 papers A* 3A 2B 22C 8Misc 2Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version). CoRR Aja Khanal, Kaushik T. Ranade, Rishabh Agrawal, Kalyan S. Basu, Apurva Narayan
2025	J	`jnl`	AVATAR: Autonomous Vehicle Assessment Through Testing of Adversarial Patches in Real-Time. IEEE Trans. Intell. Veh. Abhijith Sharma, Apurva Narayan, Nasser Lashgarian Azad, Sebastian Fischmeister, Stefan Marksteiner
2025	J	`jnl`	Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks. CoRR Yohannis Kifle Telila, Damitha Senevirathne, Dumindu Tissera, Apurva Narayan, Miriam A. M. Capretz, Katarina Grolinger
2025	J	`jnl`	Filtered-ViT: A Robust Defense Against Multiple Adversarial Patch Attacks. CoRR Aja Khanal, Ahmed Faid, Apurva Narayan
2025	J	`jnl`	GAN inversion and shifting: recommending product modifications to sellers for better user preference. PeerJ Comput. Sci. Satyadwyoom Kumar, Abhijith Sharma, Apurva Narayan
2025	Misc	`conf`	L2G: Head Gesture Animation Using an Emotion Guided Language Model. ICASSP Rishabh Agrawal, Apurva Narayan
2025	C	`conf`	Optimism Induction Attack on Deep Reinforcement Learning with Control Barrier Function Safety Filter for Autonomous Driving. ACC Saeedeh Lohrasbi, Ladan Khoshnevisan, Apurva Narayan, Nasser Lashgarian Azad, Pulei Xiong
2025	A	`conf`	SCMRAG: Self-Corrective Multihop Retrieval Augmented Generation System for LLM Agents. AAMAS Rishabh Agrawal, Murtaza Asrani, Hadi Youssef, Apurva Narayan
2025	J	`jnl`	STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generation. CoRR Tanmay Khule, Stefan Marksteiner, Jose Alguindigue, Hannes Fuchs, Sebastian Fischmeister, Apurva Narayan
2024	B	`conf`	Are ViTs Weak Against Patch Attacks? SMC Soniya, Phil Munz, Apurva Narayan
2024	A	`conf`	Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. WACV Abhijith Sharma, Phil Munz, Apurva Narayan
2024	A*	`conf`	Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract). AAAI Daya Kumar, Abhijith Sharma, Apurva Narayan
2024	J	`jnl`	Biosignals Monitoring for Driver Drowsiness Detection Using Deep Neural Networks. IEEE Access Jose Alguindigue, Amandeep Singh, Apurva Narayan, Siby Samuel
2024	C	`conf`	ChebyRegNet: An Unsupervised Deep Learning Technique for Deformable Medical Image Registration. IECON Muhammad Umair Danish, Mohammad Noorchenarboo, Apurva Narayan, Katarina Grolinger
2024	A*	`conf`	Generating Universal Adversarial Perturbations for Quantum Classifiers. AAAI Gautham Anil, Vishnu Vinod, Apurva Narayan
2024	J	`jnl`	Generating Universal Adversarial Perturbations for Quantum Classifiers. CoRR Gautham Anil, Vishnu Vinod, Apurva Narayan
2024	J	`jnl`	Optimizing Intersection Design: Insights From Older Drivers' Physiological Responses and Gap Acceptance Behavior at Signalized Left Turns. IEEE Access Sneha Srinivasan, Amandeep Singh, Hyowon Lee, Shene Abdalla, Apurva Narayan, Siby Samuel
2024	—	`conf`	PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations. EMNLP (Findings) Tanmay Khule, Rishabh Agrawal, Apurva Narayan
2024	C	`conf`	cf-TDFM: A Framework for Limiting Fault Infusion Attacks on Deep Neural Networks. QRS Mehar Prateek Kalra, Soniya, Apurva Narayan
2023	J	`jnl`	Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. CoRR Abhijith Sharma, Phil Munz, Apurva Narayan
2023	J	`jnl`	Do we need entire training data for adversarial training? CoRR Vipul Gupta, Apurva Narayan
2023	C	`conf`	Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. ICMLA Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger
2023	—	`conf`	Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident. ICAART (3) Taif Anjum, Louis Chirade, Beiyu Lin, Apurva Narayan
2023	B	`conf`	NSA: Naturalistic Support Artifact to Boost Network Confidence. IJCNN Abhijith Sharma, Phil Munz, Apurva Narayan
2023	J	`jnl`	NSA: Naturalistic Support Artifact to Boost Network Confidence. CoRR Abhijith Sharma, Phil Munz, Apurva Narayan
2023	J	`jnl`	Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL). Comput. Ind. Debangsha Sarkar, Milad Ramezankhani, Apurva Narayan, Abbas S. Milani
2023	B	`conf`	Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting. IJCNN Taif Anjum, Daya Kumar, Apurva Narayan
2023	—	`conf`	Vulnerability of CNNs against Multi-Patch Attacks. SAT-CPS@CODASPY Abhijith Sharma, Yijun Bian, Vatsal Nanda, Phil Munz, Apurva Narayan
2023	B	`conf`	cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions. IJCNN Aviral Chharia, Runjhun Saran, Apurva Narayan
2022	—	`conf`	A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2022	J	`jnl`	A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
2022	B	`conf`	AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks. IDA Javier Perez Tobia, Phillip Braun, Apurva Narayan
2022	J	`jnl`	Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey. CoRR Abhijith Sharma, Yijun Bian, Phil Munz, Apurva Narayan
2022	B	`conf`	HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings. LREC Maulik Parmar, Apurva Narayan
2022	J	`jnl`	HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings. CoRR Maulik Parmar, Apurva Narayan
2022	B	`conf`	Improving imbalanced dataset classification using Conditional Classifier-Generator (cCGen). SMC Aniket Chakraborty, Anupama Vijaya Nadarja, Abbas S. Milani, Javier Perez Tobia, Apurva Narayan
2022	B	`conf`	Introducing Diversity In Feature Scatter Adversarial Training Via Synthesis. ICPR Satyadwyoom Kumar, Apurva Narayan
2022	—	`conf`	Leveraging spatio-temporal features to forecast time-to-accident. SIGSPATIAL/GIS Taif Anjum, Beiyu Lin, Apurva Narayan
2022	—	`conf`	Soft Adversarial Training Can Retain Natural Accuracy. ICAART (3) Abhijith Sharma, Apurva Narayan
2022	J	`jnl`	Soft Adversarial Training Can Retain Natural Accuracy. CoRR Abhijith Sharma, Apurva Narayan
2022	B	`conf`	Spiking Approximations of the MaxPooling Operation in Deep SNNs. IJCNN Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2022	J	`jnl`	Spiking Approximations of the MaxPooling Operation in Deep SNNs. CoRR Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2022	B	`conf`	Towards Robust Certified Defense via Improved Randomized Smoothing. IJCNN Satyadwyoom Kumar, Apurva Narayan
2022	Misc	`conf`	Work-in-Progress: Boot Sequence Integrity Verification with Power Analysis. EMSOFT Arthur Grisel-Davy, Amrita Milan Bhogayata, Srijan Pabbi, Apurva Narayan, Sebastian Fischmeister
2021	C	`conf`	A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response for Vaccine Design. BIBE Aviral Chharia, Apurva Narayan
2021	—	`conf`	An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing. ICPS Milad Ramezankhani, Apurva Narayan, Rudolf J. Seethaler, Abbas S. Milani
2021	—	`conf`	Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Canadian AI Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2021	B	`conf`	Is Timing Critical to Trace Reconstruction? SMC Javier Perez Tobia, Apurva Narayan
2021	C	`conf`	MINTS: Unsupervised Temporal Specifications Miner. QRS Pradeep K. Mahato, Apurva Narayan
2021	C	`conf`	Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms. ICMLA Rishab Sharma, Fatemeh H. Fard, Apurva Narayan
2021	C	`conf`	Self-Attention Mechanism in GANs for Molecule Generation. ICMLA Sandeep Chinnareddy, Pranav Grandhi, Apurva Narayan
2020	J	`jnl`	Deep neural networks for multimodal data fusion and affect recognition. Int. J. Artif. Intell. Soft Comput. Dhruv Bhandari, Sandeep Paul, Apurva Narayan
2020	B	`conf`	GWAD: Greedy Workflow Graph Anomaly Detection Framework for System Traces. SMC Wiliam Setiawan, Yohen Thounaojam, Apurva Narayan
2020	B	`conf`	Light Weight Dilated CNN for Time Series Classification and Prediction. SMC Pranav Khanna, Apurva Narayan
2020	B	`conf`	MA2DF: A Multi-Agent Anomaly Detection Framework. SMC Yohen Thounaojam, Wiliam Setiawan, Apurva Narayan
2020	—	`conf`	QMine: A Framework for Mining Quantitative Regular Expressions from System Traces. QRS Companion Pradeep K. Mahato, Apurva Narayan
2020	—	`conf`	Robust Supply Chains with Gradient Boosted Trees. SSCI Pradeep K. Mahato, Apurva Narayan
2019	B	`conf`	A Neural Word Embedding Approach to System Trace Reconstruction. SMC Karuna Lakhani, Apurva Narayan
2019	B	`conf`	Deep Learning for System Trace Restoration. IJCNN Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
2019	J	`jnl`	Deep Learning for System Trace Restoration. CoRR Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
2019	B	`conf`	Mining Time for Timed Regular Specifications. SMC Apurva Narayan, Sebastian Fischmeister
2019	J	`jnl`	Pay attention and you won't lose it: a deep learning approach to sequence imputation. PeerJ Comput. Sci. Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
2018	J	`jnl`	Mining Timed Regular Specifications from System Traces. ACM Trans. Embed. Comput. Syst. Apurva Narayan, Greta Cutulenco, Yogi Joshi, Sebastian Fischmeister
2017	B	`conf`	Long short term memory networks for short-term electric load forecasting. SMC Apurva Narayan, Keith W. Hipel
2017	A*	`conf`	TREM: a tool for mining timed regular specifications from system traces. ASE Lukas Schmidt, Apurva Narayan, Sebastian Fischmeister
2016	—	`conf`	Mining timed regular expressions from system traces. SoftwareMining@ASE Greta Cutulenco, Yogi Joshi, Apurva Narayan, Sebastian Fischmeister
2011	B	`conf`	Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices. SMC Apurva Narayan, Keith W. Hipel, K. Ponnambalam, Sandeep Paul
2009	B	`conf`	A Novel Quantum Evolutionary Algorithm for Quadratic Knapsack Problem. SMC Apurva Narayan, Patvardhan Chellapilla
2009	B	`conf`	Dynamic Fuzzy Controller Based Multilayered Architecture for Extended Battery Life in Mobile Handheld Devices. SMC Apurva Narayan, Tamanna Srivastava
2008	B	`conf`	Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system. FUZZ-IEEE Lotika Singh, Apurva Narayan, Satish Kumar
2007	—	`conf`	Enhanced Quantum Evolutionary Algorithms for Difficult Knapsack Problems. PReMI C. Patvardhan, Apurva Narayan, Anand Srivastav