Nitesh Kumar

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 40

Top Topics

Machine Learning

Probabilistic Logic

Malware Detection

Top Venues

Publications

Sambhrant Maurya, Anand Handa, Nitesh Kumar, Sandeep K. Shukla
Adversarially robust and real-time DDoS detection and classification framework using AutoML. Inf. Secur. J. A Glob. Perspect. 33 (4) (2024)
Mohammed Jawed, Sriram Parameshwaran, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
ArkThor: Threat Categorization Based on Malware's C2 Communication. ICISSP (2024)
Nitesh Kumar, Usashi Chatterjee, Steven Schockaert
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. ACL (Findings) (2024)
Nitesh Kumar, Usashi Chatterjee, Steven Schockaert
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. CoRR (2024)
Rohit Beniwal, Nitesh Kumar
Energy optimized artificial hummingbird algorithm for routing in IoT-based software-defined WSN. Int. J. Commun. Syst. 37 (8) (2024)
Nitesh Kumar
Hybrid Probabilistic Logic Programming: Inference and Learning. CoRR (2023)
Aman Srivastava, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Ransomware Detection based on Network Behavior using Machine Learning and Hidden Markov Model with Gaussian Emission. CSR (2023)
Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. J. Artif. Intell. Res. 77 (2023)
Amit Yadav, Nitesh Kumar, Shaurya Surana, Lalan Kumar, Suriya Prakash Muthukrishnan, Shubhendu Bhasin, Sitikantha Roy
Modeling and parametric optimization of 3D tendon-sheath actuator system for upper limb soft exosuit. CoRR (2023)
Nitesh Kumar, Steven Schockaert
Solving Hard Analogy Questions with Relation Embedding Chains. CoRR (2023)
Saurabh Pandey, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
Evading malware classifiers using RL agent with action-mask. Int. J. Inf. Sec. 22 (6) (2023)
Akash Patel, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
AProctor - A practical on-device antidote for Android malware. ACSW (2023)
Joyjit Mukherjee, Ankit Chatterjee, Shreeshan Jena, Nitesh Kumar, Suriya Prakash Muthukrishnan, Sitikantha Roy, Shubhendu Bhasin
Adaptive Gravity Compensation Control of a Cable-Driven Upper-Arm Soft Exosuit. CoRR (2023)
Nitesh Kumar, Gaurav S. Kasbekar, D. Manjunath
Application of Data Collected by Endpoint Detection and Response Systems for Implementation of a Network Security System based on Zero Trust Principles and the EigenTrust Algorithm. SIGMETRICS Perform. Evaluation Rev. 50 (4) (2023)
Nitesh Kumar, Steven Schockaert
Solving Hard Analogy Questions with Relation Embedding Chains. EMNLP (2023)
Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
Learning Distributional Programs for Relational Autocompletion. Theory Pract. Log. Program. 22 (1) (2022)
Rahul Varshney, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
Volatility Custom Profiling for Automated Hybrid ELF Malware Detection. ICDF2C (2022)
Nitesh Kumar, Anand Handa, Sandeep K. Shukla
RBMon: Real Time System Behavior Monitoring Tool. AsiaCCS (2022)
Nitesh Kumar, Gaurav S. Kasbekar, D. Manjunath
Application of Data Collected by Endpoint Detection and Response Systems for Implementation of a Network Security System based on Zero Trust Principles and the EigenTrust Algorithm. CoRR (2022)
Kumar Dheenadayalan, Nitesh Kumar, Suprabath Reddy, Sumant Kulkarni
Multimodal Neural Network for Demand Forecasting. ICONIP (3) (2022)
Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. CoRR (2022)
Nitesh Kumar, Kumar Dheenadayalan, Suprabath Reddy, Sumant Kulkarni
Multimodal Neural Network For Demand Forecasting. CoRR (2022)
Shubham Rana, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Automated Windows behavioral tracing for malware analysis. Secur. Priv. 5 (6) (2022)
Nitesh Kumar, Ondrej Kuzelka
Context-Specific Likelihood Weighting. AISTATS (2021)
Hariom, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Adversaries Strike Hard: Adversarial Attacks Against Malware Classifiers Using Dynamic API Calls as Features. CSCML (2021)
Nitesh Kumar, Ondrej Kuzelka
Context-Specific Likelihood Weighting. CoRR (2021)
Kartikeya Gaur, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Static Ransomware Analysis Using Machine Learning and Deep Learning Models. ACeS (2020)
Bishwas C. Gupta, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
An Insecurity Study of Ethereum Smart Contracts. SPACE (2020)
Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring. Frontiers Robotics AI 7 (2020)
Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring. CoRR (2020)
Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt
Learning Distributional Programs for Relational Autocompletion. CoRR (2020)
Riya Khan, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Malware Detection in Word Documents Using Machine Learning. ACeS (2020)
Nitesh Kumar, Ajay Singh, Anand Handa, Sandeep Kumar Shukla
Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning. CSCML (2020)
Nitesh Kumar, Subhasis Mukhopadhyay, Mugdha Gupta, Anand Handa, Sandeep K. Shukla
Malware Classification using Early Stage Behavioral Analysis. AsiaJCIS (2019)
Ajay Singh, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Malware Classification Using Image Representation. CSCML (2019)
Nitesh Kumar, Abdul Khader, Raghuvir Pai, Panayiotis A. Kyriacou, Sanowar Khan, Prakashini Koteshwara
Computational fluid dynamic study on effect of Carreau-Yasuda: Yasuda and Newtonian blood viscosity models on hemodynamic parameters. J. Comput. Methods Sci. Eng. 19 (2) (2019)
Harsh Bhagwani, Rohit Negi, Aneet Kumar Dutta, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Automated Classification of Web-Application Attacks for Intrusion Detection. SPACE (2019)
Fenil Fadadu, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Evading API Call Sequence Based Malware Classifiers. ICICS (2019)
Amit Kumar, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
PeerClear: Peer-to-Peer Bot-net Detection. CSCML (2019)
Deep Kiran, Bijaya K. Panigrahi, Swagatam Das, Nitesh Kumar
Linkage based deferred acceptance optimization. Inf. Sci. (2016)
Harish S. Bhat, Nitesh Kumar, Garnet Jason Vaz
Towards scalable quantile regression trees. IEEE BigData (2015)
Nitesh Kumar, D. R. Nagaraja, H. P. Khincha
A smart and adaptive scheme for generator out of step protection. ISGT Asia (2015)
Anil Kumar, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, Sumeet Agarwal
Semantic clustering-based cross-domain recommendation. CIDM (2014)
Korra Sathya Babu, Nithin Reddy, Nitesh Kumar, Mark Elliot, Sanjay Kumar Jena
Achieving k-anonymity Using Improved Greedy Heuristics for Very Large Relational Databases. Trans. Data Priv. 6 (1) (2013)
Harish S. Bhat, Nitesh Kumar
Option pricing under a normal mixture distribution derived from the Markov tree model. Eur. J. Oper. Res. 223 (3) (2012)
Alakshendra Tripathi, Nilanjan Guha, Amit Poddar, Nitesh Kumar
Intelligent coding scheme for wireless image transmission over noisy channels. ICUMT (2009)