Dipkamal Bhusal

26 papers A* 1A 4B 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Training for Trustworthy Saliency Maps: Adversarial Training Meets Feature-Map Smoothing. CoRR Dipkamal Bhusal, Md Tanvirul Alam, Nidhi Rastogi
2025	J	`jnl`	Adversarial Patterns: Building Robust Android Malware Classifiers. ACM Comput. Surv. Dipkamal Bhusal, Nidhi Rastogi
2025	—	`conf`	AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence. ACSAC Workshops Md Tanvirul Alam, Dipkamal Bhusal, Salman Ahmad, Nidhi Rastogi, Peter Worth Jr.
2025	J	`jnl`	AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence. CoRR Md Tanvirul Alam, Dipkamal Bhusal, Salman Ahmad, Nidhi Rastogi, Peter Worth Jr.
2025	J	`jnl`	Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks. CoRR Ayushi Mehrotra, Derek Peng, Dipkamal Bhusal, Nidhi Rastogi
2025	J	`jnl`	Do Sparse Subnetworks Exhibit Cognitively Aligned Attention? Effects of Pruning on Saliency Map Fidelity, Sparsity, and Concept Coherence. CoRR Sanish Suwal, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi
2025	J	`jnl`	FACE: Faithful Automatic Concept Extraction. CoRR Dipkamal Bhusal, Michael Clifford, Sara Rampazzi, Nidhi Rastogi
2025	J	`jnl`	Learning to Look: Cognitive Attention Alignment with Vision-Language Models. CoRR Ryan L. Yang, Dipkamal Bhusal, Nidhi Rastogi
2025	A	`conf`	R+R: Revisiting Static Feature-Based Android Malware Detection Using Machine Learning. ACSAC Md Tanvirul Alam, Dipkamal Bhusal, Nidhi Rastogi
2025	J	`jnl`	Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning. CoRR Sanish Suwal, Shaurya Garg, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi
2024	A*	`conf`	CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence. NeurIPS Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, Nidhi Rastogi
2024	J	`jnl`	CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence. CoRR Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, Nidhi Rastogi
2024	—	`conf`	Comprehensive Analysis of Consistency and Robustness of Machine Learning Models in Malware Detection. ACM Great Lakes Symposium on VLSI Sreenitha Kasarapu, Dipkamal Bhusal, Nidhi Rastogi, Sai Manoj Pudukotai Dinakarrao
2024	A	`conf`	PASA: Attack Agnostic Unsupervised Adversarial Detection Using Prediction & Attribution Sensitivity Analysis. EuroS&P Dipkamal Bhusal, Md Tanvirul Alam, Monish Kumar Manikya Veerabhadran, Michael Clifford, Sara Rampazzi, Nidhi Rastogi
2024	J	`jnl`	PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis. CoRR Dipkamal Bhusal, Md Tanvirul Alam, Monish Kumar Manikya Veerabhadran, Michael Clifford, Sara Rampazzi, Nidhi Rastogi
2024	J	`jnl`	Revisiting Static Feature-Based Android Malware Detection. CoRR Md Tanvirul Alam, Dipkamal Bhusal, Nidhi Rastogi
2024	J	`jnl`	SECURE: Benchmarking Generative Large Language Models for Cybersecurity Advisory. CoRR Dipkamal Bhusal, Md Tanvirul Alam, Le Nguyen, Ashim Mahara, Zachary Lightcap, Rodney Frazier, Romy Fieblinger, Grace Long Torales, Nidhi Rastogi
2024	A	`conf`	SECURE: Benchmarking Large Language Models for Cybersecurity. ACSAC Dipkamal Bhusal, Md Tanvirul Alam, Le Nguyen, Ashim Mahara, Zachary Lightcap, Rodney Frazier, Romy Fieblinger, Grace Long Torales, Benjamin A. Blakely, Nidhi Rastogi
2023	J	`jnl`	G-VARS: Towards Personalized Risk Assessments by Analyzing Gun Violence Susceptibility with Personal Knowledge Graphs. IEEE Data Eng. Bull. Dipkamal Bhusal, Sara Rampazzi, Michael Clifford, Nidhi Rastogi
2023	A	`conf`	Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. RAID Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi
2023	B	`conf`	SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability. ARES Dipkamal Bhusal, Rosalyn Shin, Ajay Ashok Shewale, Monish Kumar Manikya Veerabhadran, Michael Clifford, Sara Rampazzi, Nidhi Rastogi
2022	J	`jnl`	Adversarial Patterns: Building Robust Android Malware Classifiers. CoRR Dipkamal Bhusal, Nidhi Rastogi
2022	J	`jnl`	CyNER: A Python Library for Cybersecurity Named Entity Recognition. CoRR Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi
2022	J	`jnl`	Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. CoRR Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi
2022	J	`jnl`	Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs. CoRR Dipkamal Bhusal, Sanjeeb Prasad Panday
2022	J	`jnl`	SoK: Modeling Explainability in Security Monitoring for Trust, Privacy, and Interpretability. CoRR Dipkamal Bhusal, Nidhi Rastogi