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I'm a research assistant at CISPA and an undergraduate at BITS Goa. My work explores the intersection of ML, interpretability, security, and reverse-engineering — from understanding how LLMs reason and fail, to building more transparent and resilient AI systems.

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I am actively looking for Research Engineer / Fellow positions in teams involving AI Security & Safety or LLM Reasoning. Moreover, I'm also interested in research collaborations and PhD opportunities with advisors exploring AI Security, Privacy or Distributed Systems.

📧 Please email me if you'd like to chat!

>publications & preprints

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PUBLICATION2025
Oral Presentation at BuildingTrust Workshop @ ICLR 2025

GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs

Advik Raj Basani, Xiao Zhang

Conference on Neural Information Processing Systems (NeurIPS) 2025

WORKSHOP2025
Oral Presentation at CLEF 2025

Diversity Boosts AI-Generated Text Detection

Advik Raj Basani, Pin-Yu Chen

DIGBUGS Workshop @ International Conference on Machine Learning (ICML) 2025

PUBLICATION2025
Oral Presentation at CCNC 2025

G-GQSA: Exploiting Feature-Based Vulnerabilities and Enhancing Adversarial Resilience in Android Malware Detection

Advik Raj Basani, Hemant Rathore

IEEE Consumer Communications & Networking Conference (CCNC) 2025

PUBLICATION2024Distinguished Paper Nominee
Oral Presentation at HiPC 2024

When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning

Advik Raj Basani, Siddharth Chaitra Vivek, Advaith Krishna, Arnab K. Paul

IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) 2024

>blogs

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🚧 coming soon...

>photos

just a few pictures that I thought looked cool

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My talk at ICLR 2025
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DaSH Lab (as of May 2025)
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