Mayank Agarwal

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 65

Top Topics

Intrusion Detection System

Top Venues

Publications

Anmol Kumar, Gaurav Somani, Mayank Agarwal
Comparing HAProxy Scheduling Algorithms During the DDoS Attacks. IEEE Netw. Lett. 6 (2) (2024)
Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
An Investigation of Representation and Allocation Harms in Contrastive Learning. ICLR (2024)
Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR (2024)
Anmol Kumar, Mayank Agarwal
Quick service during DDoS attacks in the container-based cloud environment. J. Netw. Comput. Appl. 229 (2024)
Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
Aligners: Decoupling LLMs and Alignment. Tiny Papers @ ICLR (2024)
Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
Aligners: Decoupling LLMs and Alignment. CoRR (2024)
Fawzia Omer Albasheer, Raghavendra Ramesh Haibatti, Mayank Agarwal, Seung Yeob Nam
A Novel IDS Based on Jaya Optimizer and Smote-ENN for Cyberattacks Detection. IEEE Access 12 (2024)
Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR (2024)
Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review. Int. J. Digit. Libr. 25 (1) (2024)
Deepti Shakya, Vishal Deshpande, Mir Jafar Sadegh Safari, Mayank Agarwal
Performance evaluation of machine learning algorithms for the prediction of particle Froude number (Frn) using hyper-parameter optimizations techniques. Expert Syst. Appl. 256 (2024)
Prabhat Kumar Bharti, Mayank Agarwal, Asif Ekbal
Please be polite to your peers: a multi-task model for assessing the tone and objectivity of critiques of peer review comments. Scientometrics 129 (3) (2024)
Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen
Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models. CoRR (2024)
Sanjit Kumar, Bimlesh Kumar, Vishal Deshpande, Mayank Agarwal
Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques. Expert Syst. Appl. 232 (2023)
Zilu Tang, Mayank Agarwal, Alex Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations. CoRR (2023)
Djallel Bouneffouf, Mayank Agarwal, Irina Rish
Dialogue System with Missing Observation. ICASSP (2023)
Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CoRR (2023)
Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind
Indoor dataset for Person Re-Identification: Exploring the impact of backpacks. J. Vis. Commun. Image Represent. 96 (2023)
Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind
DLIRIR : Deep learning based improved Reverse Image Retrieval. Eng. Appl. Artif. Intell. 126 (2023)
Zilu Tang, Mayank Agarwal, Alexander Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim
Explain-then-translate: an analysis on improving program translation with self-generated explanations. EMNLP (Findings) (2023)
Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CHI (2023)
Deepti Shakya, Vishal Deshpande, Bimlesh Kumar, Mayank Agarwal
Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models. Artif. Intell. Rev. 56 (9) (2023)
Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
An Investigation of Representation and Allocation Harms in Contrastive Learning. CoRR (2023)
Anmol Kumar, Mayank Agarwal
Preserving Service Availability Under DDoS Attack in Micro-Service Based Cloud Infrastructure. SIN (2023)
Naveen Venkat, Mayank Agarwal, Maneesh Kumar Singh, Shubham Tulsiani
Geometry-biased Transformers for Novel View Synthesis. CoRR (2023)
Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
Investigating Explainability of Generative AI for Code through Scenario-based Design. IUI (2022)
Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments. TPDL (2022)
Stephanie Houde, Steven I. Ross, Michael Muller, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz
Opportunies for Generative AI in UX Modernization 81-91. IUI Workshops (2022)
Deepti Shakya, Vishal Deshpande, Mayank Agarwal, Bimlesh Kumar
Standalone and ensemble-based machine learning techniques for particle Froude number prediction in a sewer system. Neural Comput. Appl. 34 (18) (2022)
Michael Muller, Steven I. Ross, Stephanie Houde, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122. IUI Workshops (2022)
Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz
Investigating Explainability of Generative AI for Code through Scenario-based Design. CoRR (2022)
Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal
A Method for Automatically Estimating the Informativeness of Peer Reviews. ICON (2022)
Justin D. Weisz, Michael Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards
Better Together? An Evaluation of AI-Supported Code Translation. IUI (2022)
Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards
Better Together? An Evaluation of AI-Supported Code Translation. CoRR (2022)
Mayank Agarwal, Tathagata Chakraborti, Sachin Grover
COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India. CoRR (2021)
Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula
Perfection Not Required? Human-AI Partnerships in Code Translation. CoRR (2021)
Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. IUI Workshops (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish
Toward Skills Dialog Orchestration with Online Learning. ICASSP (2021)
Mayank Agarwal, Kartik Talamadupula, Fernando Martinez, Stephanie Houde, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz
Using Document Similarity Methods to create Parallel Datasets for Code Translation. CoRR (2021)
Mayank Agarwal
DES Based IDS for detection Minimal De-authentication DoS Attack in 802.11 Wi-Fi Networks. ANTS (2021)
Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands. CoRR (2021)
Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
On sensitivity of meta-learning to support data. CoRR (2021)
Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
On sensitivity of meta-learning to support data. NeurIPS (2021)
Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula
Perfection Not Required? Human-AI Partnerships in Code Translation. IUI (2021)
Mayank Agarwal, Jorge J. Barroso, Tathagata Chakraborti, Eli M. Dow, Kshitij P. Fadnis, Borja Godoy, Kartik Talamadupula
CLAI: A Platform for AI Skills on the Command Line. CoRR (2020)
Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf
Online Semi-Supervised Learning with Bandit Feedback. CoRR (2020)
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR (2020)
Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni
TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets. AAAI (2020)
Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands. NeurIPS (Competition and Demos) (2020)
Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz
Quality Estimation & Interpretability for Code Translation. CoRR (2020)
Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni
A Bandit Approach to Posterior Dialog Orchestration Under a Budget. CoRR (2019)
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni
Bayesian Nonparametric Federated Learning of Neural Networks. ICML (2019)
Mayank Agarwal, Santosh Biswas, Sukumar Nandi
Discrete event system framework for fault diagnosis with measurement inconsistency: case study of rogue DHCP attack. IEEE CAA J. Autom. Sinica 6 (3) (2019)
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang
Statistical Model Aggregation via Parameter Matching. CoRR (2019)
Ankush Garg, Mayank Agarwal
Machine Translation: A Literature Review. CoRR (2019)
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang
Statistical Model Aggregation via Parameter Matching. NeurIPS (2019)
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni
Bayesian Nonparametric Federated Learning of Neural Networks. CoRR (2019)
Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision. AAAI (2019)
Mayank Agarwal
Rogue Twin Attack Detection: A Discrete Event System Paradigm Approach. SMC (2019)
Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, R. Venkatesh Babu
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. CoRR (2018)
Mayank Agarwal, Santosh Biswas, Sukumar Nandi
An Efficient Scheme to Detect Evil Twin Rogue Access Point Attack in 802.11 Wi-Fi Networks. Int. J. Wirel. Inf. Networks 25 (2) (2018)
Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision. CoRR (2018)
Mayank Agarwal, Rami Puzis, Jawad Haj-Yahya, Polina Zilberman, Yuval Elovici
Anti-forensic = Suspicious: Detection of Stealthy Malware that Hides Its Network Traffic. SEC (2018)
Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, Venkatesh Babu Radhakrishnan
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. BMVC (2018)
Mayank Agarwal, Sanketh Purwar, Santosh Biswas, Sukumar Nandi
Intrusion detection system for PS-Poll DoS attack in 802.11 networks using real time discrete event system. IEEE CAA J. Autom. Sinica 4 (4) (2017)
Mayank Agarwal, Dileep Pasumarthi, Santosh Biswas, Sukumar Nandi
Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization. Int. J. Mach. Learn. Cybern. 7 (6) (2016)
Mayank Agarwal, Santosh Biswas, Sukumar Nandi
Advanced Stealth Man-in-The-Middle Attack in WPA2 Encrypted Wi-Fi Networks. IEEE Commun. Lett. 19 (4) (2015)
Mayank Agarwal, Santosh Biswas, Sukumar Nandi
Detection of De-Authentication DoS Attacks in Wi-Fi Networks: A Machine Learning Approach. SMC (2015)
Mayank Agarwal, Santosh Biswas, Sukumar Nandi
-diagnosability framework for detection of Advanced Stealth Man in the Middle attack in Wi-Fi networks. MED (2015)
Rajesh Singh, Gaurav Kumar Pandey, Mayank Agarwal, Hari Shankar Singh, Pradutt Kumar Bharti, Manoj Kumar Meshram
Compact Planar Monopole Antenna with Dual Band Notched Characteristics Using T-Shaped Stub and Rectangular Mushroom Type Electromagnetic Band Gap Structure for UWB and Bluetooth Applications. Wirel. Pers. Commun. 78 (1) (2014)
Mayank Agarwal, Javed Mostafa
Cohort Selection through Content-Based Image Retrieval: vfM A Case Study. HISB (2012)
Mahendra Mehra, Mayank Agarwal, R. Pawar, Deven Shah
Mitigating denial of service attack using CAPTCHA mechanism. ICWET (2011)
Mayank Agarwal, Mahendra Mehra, R. Pawar, Deven Shah
Secure authentication using dynamic virtual keyboard layout. ICWET (2011)
Mayank Agarwal, Javed Mostafa
Content-based image retrieval for Alzheimer's disease detection. CBMI (2011)
Eugenio Cinquemani, Mayank Agarwal, Debasish Chatterjee, John Lygeros
Convexity and convex approximations of discrete-time stochastic control problems with constraints. Autom. 47 (9) (2011)
Mayank Agarwal, Himanshu Agrawal, Nikunj Jain, Manish Kumar
Face Recognition Using Principle Component Analysis, Eigenface and Neural Network. ICSAP (2010)
Mayank Agarwal, Eugenio Cinquemani, Debasish Chatterjee, John Lygeros
On convexity of stochastic optimization problems with constraints. ECC (2009)
Mayank Agarwal, Matthew I. Frank
SPARTAN: A software tool for Parallelization Bottleneck Analysis. IWMSE@ICSE (2009)
Deven Shah, Ashish Mangal, Mayank Agarwal, Mahendra Mehra, Tushar Dave, Dhiren R. Patel
Protecting Global SOA from DoS and Other Security Threats. ISA (2009)
Mayank Agarwal, Javed Mostafa
Image Retrieval for Alzheimer's Disease Detection. MCBR-CDS (2009)
Mayank Agarwal, Nitin Navale, Kshitiz Malik, Matthew I. Frank
Fetch-Criticality Reduction through Control Independence. ISCA (2008)
Kshitiz Malik, Mayank Agarwal, Vikram Dhar, Matthew I. Frank
PaCo: Probability-based path confidence prediction. HPCA (2008)
Kshitiz Malik, Mayank Agarwal, Sam S. Stone, Kevin M. Woley, Matthew I. Frank
Branch-mispredict level parallelism (BLP) for control independence. HPCA (2008)
Adrian David Cheok, Owen Noel Newton Fernando, Imiyage Janaka Prasad Wijesena, Abd-ur-Rehman Mustafa, Ramkumar Shankar, Anne-Katrin Barthoff, Naoko Tosa, Yongsoon Choi, Mayank Agarwal
BlogWall: Social and Cultural Interaction for Children. Adv. Hum. Comput. Interact. 2008 (2008)
Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam S. Stone, Matthew I. Frank
Exploiting Postdominance for Speculative Parallelization. HPCA (2007)
Ankit Mathur, Mayank Agarwal, Soumyadeb Mitra, Anup Gangwar, M. Balakrishnan, Subhashis Banerjee
SMPS: an FPGA-based prototyping environment for multiprocessor embedded systems (abstract only). FPGA (2005)