Rakshit Agrawal

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Dynamic Analysis

Malware Detection

Top Venues

Publications

Mahendra Kumar Gourisaria, Rakshit Agrawal, Manoj Sahni, Pradeep Kumar Singh
Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques. Discov. Internet Things 4 (1) (2024)
Rakshit Agrawal, Hrishita Sarkar, Abhisek Omkar Prasad, Abhaya Kumar Sahoo, Ankit Vidyarthi, Rabindra Kumar Barik
Exploration of Deep Neural Networks and Effect of Optimizer for Pulmonary Disease Diagnosis. SN Comput. Sci. 4 (5) (2023)
Rakshit Agrawal, Jack W. Stokes, Lukas Rist, Ryan Littlefield, Xun Fan, Ken Hollis, Zane Coppedge, Noah Chesterman, Christian Seifert
Long-Term Study of Honeypots in a Public Cloud. DSN (Supplements) (2022)
Mahendra Kumar Gourisaria, Harshvardhan GM, Rakshit Agrawal, Sudhansu Shekhar Patra, Siddharth Swarup Rautaray, Manjusha Pandey
Arrhythmia Detection Using Deep Belief Network Extracted Features From ECG Signals. Int. J. E Health Medical Commun. 12 (6) (2021)
Adrian Brasoveanu, Megan Moodie, Rakshit Agrawal
Textual Evidence for the Perfunctoriness of Independent Medical Reviews. KiML@KDD (2020)
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald
Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning. ICASSP (2020)
Rakshit Agrawal, Luca de Alfaro
Learning Edge Properties in Graphs from Path Aggregations. WWW (2019)
Rakshit Agrawal, Luca de Alfaro, David P. Helmbold
A New Family of Neural Networks Provably Resistant to Adversarial Attacks. CoRR (2019)
Sarah Frost, Bryan Tor, Rakshit Agrawal, Angus G. Forbes
CompostNet: An Image Classifier for Meal Waste. GHTC (2019)
Rakshit Agrawal, Jack W. Stokes, Karthik Selvaraj, Mady Marinescu
Attention in Recurrent Neural Networks for Ransomware Detection. ICASSP (2019)
Mahika Dubey, Alan Peral Ortiz, Rakshit Agrawal, Angus G. Forbes
Predicting Biker Density at Bikeshare Station Intersections in San Francisco. GHTC (2019)
Rakshit Agrawal, Luca de Alfaro
Learning Edge Properties in Graphs from Path Aggregations. CoRR (2019)
Rakshit Agrawal, Luca de Alfaro, Gabriele Ballarin, Stefano Moret, Massimo Di Pierro, Eugenio Tacchini, Marco L. Della Vedova
Identifying Fake News from Twitter Sharing Data: A Large-Scale Study. CoRR (2019)
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew J. Hausknecht
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection. CoRR (2019)
Matthew J. Howard, Rakshit Agrawal
Predicting Substance Misuse Admission Rates via Recurrent Neural Networks. GHTC (2019)
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald, Matthew J. Hausknecht
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection. MILCOM (2019)
Abolfazl Zargari Khuzani, Rakshit Agrawal, Najmeh Mashhadi
Fire detection in video sequences using a machine learning system and a clustered quantitative image marker. GHTC (2019)
Rakshit Agrawal, Anwar Habeeb, Chih-Hsin Hsueh
Learning User Intent from Action Sequences on Interactive Systems. AAAI Workshops (2018)
Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj
Robust Neural Malware Detection Models for Emulation Sequence Learning. MILCOM (2018)
Suzanne B. da Câmara, Rakshit Agrawal, Katherine Isbister
Identifying Children's Fidget Object Preferences: Toward Exploring the Impacts of Fidgeting and Fidget-Friendly Tangibles. Conference on Designing Interactive Systems (2018)
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald
Neural Classification of Malicious Scripts: A study with JavaScript and VBScript. CoRR (2018)
Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj
Robust Neural Malware Detection Models for Emulation Sequence Learning. CoRR (2018)
Rakshit Agrawal, Jack W. Stokes, Mady Marinescu, Karthik Selvaraj
Neural Sequential Malware Detection with Parameters. ICASSP (2018)
Rakshit Agrawal, Anwar Habeeb, Chih-Hsin Hsueh
Learning User Intent from Action Sequences on Interactive Systems. CoRR (2017)
Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos
Learning from Graph Neighborhoods Using LSTMs. AAAI Workshops (2017)
Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos
Learning From Graph Neighborhoods Using LSTMs. CoRR (2016)
Rakshit Agrawal, Luca de Alfaro
Predicting the quality of user contributions via LSTMs. OpenSym (2016)
Rakshit Agrawal, Aaron Springer, Emily Lovell
QuickResponseHost: Enabling crowdsourced disaster response stations. GHTC (2015)
Rakshit Agrawal
Collaborative systems with applications for social good. OpenSym Companion (2015)
Rakshit Agrawal, Mridu Atray, S. Krishna Sundari
KrishiEkta: integrated knowledge and information distribution system for Indian agriculture. ACM DEV (4) (2013)
Rakshit Agrawal, Mridu Atray, Krishna Sundari Sattiraju
Exploring suitable interfaces for agriculture based smartphone apps in India. APCHI (2013)
Rakshit Agrawal, Mridu Atray, S. Krishna Sundari
Concept to design a hand-held crop management device (CMD) for farmers. ACM DEV (2012)
Rakshit Agrawal, Mridu Atray, S. Krishna Sundari
Sensor network architecture for soil and weather data extraction and database generation. SenSys (2012)