Scholar
Kalyan Nakka
Google Scholar ID: vrwOwf4AAAAJ
2nd year PhD Student, SPIES Research Lab, Texas A&M University
Adversarial Machine Learning
AI Security
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
36
H-index
4
i10-index
1
Publications
15
Co-authors
6
list available
Contact
Email
kalyan@tamu.edu
GitHub
Open ↗
Publications
4 items
BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage
2025
Cited
0
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
2025
Cited
0
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
arXiv.org · 2024
Cited
1
A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers
2024
Cited
0
Resume (English only)
Academic Achievements
One paper accepted in IJCNLP-AACL (Findings) 2025 conference
One paper accepted in IEEE STWiMob 2025 workshop
One paper accepted in PST 2025 conference
One paper accepted in ACM TOSN journal
One paper accepted in IEEE Access journal
One paper accepted in ECCE 2024 conference
One paper accepted in AdHoc Networks journal
One paper accepted in ISGT 2024 conference
One paper accepted in JPDC journal
One paper accepted in ISCC 2023 conference
Received the Distinguished Student Award from College of Graduate Studies, TAMUK
Background
Research Interests: Adversarial ML, AI Security, and Deep Learning. Professional Field: Computer Science & Engineering.
Miscellany
Hobbies include drawing pencil sketches, creating ambigrams, watching Anime/TV Series/Movies, and playing Video games
Co-authors
6 total
Co-author 1
Nitesh Saxena
Full Professor at the Texas A&M University
Co-author 3
Jimmy Dani
PhD Student, SPIES Research Lab, Texas A&M University
Co-author 5
Co-author 6
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