research
papers, datasets, and the competitions that taught me the most.
research interests
cybersecurity and AI, mechanistic interpretability, and compilers.
BEACON
Behavioral Engine for Authentication & Continuous Monitoring.
BEACON asks whether the way a person uses their computer can identify them reliably enough to authenticate them continuously, for as long as they are at the machine rather than once at a login screen. We studied this through mouse and keyboard behaviour under real cognitive load.
No existing dataset captured that behaviour at the scale or fidelity we needed, so we built one. Over six months we ran a collection lab (Lab L301) at Thapar, where participants played competitive VALORANT while we recorded mouse dynamics, keyboard events, network traces, gameplay video, hardware metadata and in-game configuration, all synchronised. VALORANT was chosen because it is demanding, multiplayer and free of sensitive personal data.
- 445 GBreleased data
- 102.5 hrsactive capture
- 79sessions
- 28participants
- 90.2Mmouse events
- 57.1Mnetwork packets
Figures from the dataset's release metadata on Hugging Face.
The paper, the dataset and the logger are all public, and further papers from BEACON are in preparation. We welcome collaboration on behavioural biometrics, continuous authentication and anti-cheat research.
my part
- Provided the GPU machines the VALORANT sessions ran on.
- Supervised the collection lab whenever I was available.
- Built the data pipeline and the backend server participants used to upload their session data.
- Aggregated, cleaned and released the dataset on Hugging Face.
- Co-authored the paper.
-
BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data Paper
arXiv preprint · 2026
Ishpuneet Singh, Gursmeep Kaur, Uday Pratap Singh Atwal, Guramrit Singh, Gurjot Singh, Maninder Singh -
BEACON Dataset Dataset
Hugging Face · 2026
445 GB of anonymised multimodal behavioural data under CC BY-NC 4.0. Aggregated, cleaned and released by me. -
BEACON Logger Software
Zenodo · 2026
The instrumentation used to capture every modality in sync over six months.
Mentored by Dr. Maninder Singh (CSED, TIET) and Gurjot Singh. Special thanks to Akshat Kaushik, Ishika Walia, and Rudraksh Chugh for monitoring the lab for most of the six-month campaign.
honors
-
Grand Finalist, Bharatiya Antariksh Hackathon 2025 2025
Indian Space Research Organisation (ISRO)
Team Amrit placed in the top 10 nationally, out of more than 5,400 participants, and presented at the grand finale at NRSC Hyderabad. We worked on identifying halo coronal mass ejection events from SWIS-ASPEX particle data aboard Aditya-L1. We used concept bottleneck models so that each forecast explains its reasoning instead of only giving an answer.
-
AMD · Unsloth · PyTorch
Out of more than 90 teams. Five days of fine-tuning models into questioner and answer agents, which then competed against other teams' agents in a bracket tournament.
-
Winner, OWASP TIET Internal Hackathon 2023
OWASP Student Chapter, TIET
-
Finalist, HackTU 4.0 2023
Creative Computing Society, TIET
Top 10 out of more than 500 participants, with Famify.
-
First runner-up, Smart Punjab Hackathon 2022
Saturnalia, Thapar Institute of Engineering & Technology
Team SUNS, for Smart Switch, out of more than 300 participants.
profiles