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Nitesh Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j12]Rohit Beniwal
, Nitesh Kumar
:
Energy optimized artificial hummingbird algorithm for routing in IoT-based software-defined WSN. Int. J. Commun. Syst. 37(8) (2024) - [j11]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): 425-442 (2024) - [c23]Nitesh Kumar, Usashi Chatterjee, Steven Schockaert:
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. ACL (Findings) 2024: 7974-7989 - [c22]Mohammed Jawed, Sriram Parameshwaran, Nitesh Kumar, Anand Handa, Sandeep K. Shukla:
ArkThor: Threat Categorization Based on Malware's C2 Communication. ICISSP 2024: 203-210 - [i10]Nitesh Kumar, Usashi Chatterjee, Steven Schockaert:
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. CoRR abs/2402.15337 (2024) - 2023
- [j10]Saurabh Pandey, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla:
Evading malware classifiers using RL agent with action-mask. Int. J. Inf. Sec. 22(6): 1743-1763 (2023) - [j9]Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt:
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. J. Artif. Intell. Res. 77: 683-735 (2023) - [j8]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): 5-7 (2023) - [c21]Akash Patel
, Nitesh Kumar
, Anand Handa
, Sandeep K. Shukla
:
AProctor - A practical on-device antidote for Android malware. ACSW 2023: 82-91 - [c20]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: 227-233 - [c19]Nitesh Kumar, Steven Schockaert:
Solving Hard Analogy Questions with Relation Embedding Chains. EMNLP 2023: 6224-6236 - [i9]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 abs/2304.14823 (2023) - [i8]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 abs/2306.17427 (2023) - [i7]Nitesh Kumar, Steven Schockaert:
Solving Hard Analogy Questions with Relation Embedding Chains. CoRR abs/2310.12379 (2023) - 2022
- [j7]Shubham Rana, Nitesh Kumar, Anand Handa
, Sandeep K. Shukla:
Automated Windows behavioral tracing for malware analysis. Secur. Priv. 5(6) (2022) - [j6]Nitesh Kumar
, Ondrej Kuzelka
, Luc De Raedt
:
Learning Distributional Programs for Relational Autocompletion. Theory Pract. Log. Program. 22(1): 81-114 (2022) - [c18]Nitesh Kumar, Anand Handa, Sandeep K. Shukla:
RBMon: Real Time System Behavior Monitoring Tool. AsiaCCS 2022: 1228-1230 - [c17]Rahul Varshney, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla:
Volatility Custom Profiling for Automated Hybrid ELF Malware Detection. ICDF2C 2022: 274-291 - [c16]Kumar Dheenadayalan, Nitesh Kumar, Suprabath Reddy, Sumant Kulkarni:
Multimodal Neural Network for Demand Forecasting. ICONIP (3) 2022: 409-421 - [i6]Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt:
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs. CoRR abs/2201.11165 (2022) - [i5]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 abs/2203.09325 (2022) - [i4]Nitesh Kumar, Kumar Dheenadayalan, Suprabath Reddy, Sumant Kulkarni:
Multimodal Neural Network For Demand Forecasting. CoRR abs/2210.11502 (2022) - 2021
- [c15]Nitesh Kumar, Ondrej Kuzelka:
Context-Specific Likelihood Weighting. AISTATS 2021: 2125-2133 - [c14]Hariom, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla:
Adversaries Strike Hard: Adversarial Attacks Against Malware Classifiers Using Dynamic API Calls as Features. CSCML 2021: 20-37 - [i3]Nitesh Kumar, Ondrej Kuzelka:
Context-Specific Likelihood Weighting. CoRR abs/2101.09791 (2021) - 2020
- [j5]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: 100 (2020) - [c13]Riya Khan, Nitesh Kumar, Anand Handa, Sandeep K. Shukla:
Malware Detection in Word Documents Using Machine Learning. ACeS 2020: 325-339 - [c12]Kartikeya Gaur, Nitesh Kumar, Anand Handa, Sandeep K. Shukla:
Static Ransomware Analysis Using Machine Learning and Deep Learning Models. ACeS 2020: 450-467 - [c11]Nitesh Kumar, Ajay Singh, Anand Handa, Sandeep Kumar Shukla:
Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning. CSCML 2020: 94-109 - [c10]Bishwas C. Gupta, Nitesh Kumar, Anand Handa, Sandeep K. Shukla:
An Insecurity Study of Ethereum Smart Contracts. SPACE 2020: 188-207 - [i2]Nitesh Kumar, Ondrej Kuzelka, Luc De Raedt:
Learning Distributional Programs for Relational Autocompletion. CoRR abs/2001.08603 (2020) - [i1]Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt:
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring. CoRR abs/2002.10373 (2020)
2010 – 2019
- 2019
- [j4]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): 465-477 (2019) - [c9]Nitesh Kumar, Subhasis Mukhopadhyay, Mugdha Gupta, Anand Handa, Sandeep K. Shukla:
Malware Classification using Early Stage Behavioral Analysis. AsiaJCIS 2019: 16-23 - [c8]Ajay Singh, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla:
Malware Classification Using Image Representation. CSCML 2019: 75-92 - [c7]Amit Kumar, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla:
PeerClear: Peer-to-Peer Bot-net Detection. CSCML 2019: 279-295 - [c6]Fenil Fadadu, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla:
Evading API Call Sequence Based Malware Classifiers. ICICS 2019: 18-33 - [c5]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: 123-141 - 2016
- [j3]Deep Kiran, Bijaya K. Panigrahi, Swagatam Das
, Nitesh Kumar:
Linkage based deferred acceptance optimization. Inf. Sci. 349-350: 65-76 (2016) - 2015
- [c4]Harish S. Bhat
, Nitesh Kumar, Garnet Jason Vaz:
Towards scalable quantile regression trees. IEEE BigData 2015: 53-60 - [c3]Nitesh Kumar, D. R. Nagaraja, H. P. Khincha:
A smart and adaptive scheme for generator out of step protection. ISGT Asia 2015: 1-6 - 2014
- [c2]Anil Kumar
, Nitesh Kumar, Muzammil Hussain, Santanu Chaudhury, Sumeet Agarwal
:
Semantic clustering-based cross-domain recommendation. CIDM 2014: 137-141 - 2013
- [j2]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): 1-17 (2013) - 2012
- [j1]Harish S. Bhat
, Nitesh Kumar:
Option pricing under a normal mixture distribution derived from the Markov tree model. Eur. J. Oper. Res. 223(3): 762-774 (2012)
2000 – 2009
- 2009
- [c1]Alakshendra Tripathi, Nilanjan Guha, Amit Poddar, Nitesh Kumar:
Intelligent coding scheme for wireless image transmission over noisy channels. ICUMT 2009: 1-7
Coauthor Index
aka: Sandeep Kumar Shukla
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