Samuel Jacob Chacko

Orcid: 0009-0006-0948-4234

According to our database1, Samuel Jacob Chacko authored at least 12 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
When Skills Don't Help: A Negative Result on Procedural Knowledge for Tool-Grounded Agents in Offensive Cybersecurity.
CoRR, May, 2026

STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving.
CoRR, March, 2026

Adversarial attacks on large language models using regularized relaxation.
Inf. Sci., 2026

2025
CS-Guide: Leveraging LLMs and Student Reflections to Provide Frequent, Scalable Academic Monitoring Feedback to Computer Science Students.
CoRR, December, 2025

Universal and Transferable Adversarial Attack on Large Language Models Using Exponentiated Gradient Descent.
CoRR, August, 2025

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities.
CoRR, February, 2025

Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers.
CoRR, February, 2025

Statistical Time Series Modeling of Quantum Systems Using Rough Transformers.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Spatial-ViLT: Enhancing Visual Spatial Reasoning Through Multi-task Learning.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025

NeuroShield-ViT: Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025

Vision Embeddings and Their Role in Hallucination Vulnerabilities of Multimodal Large Language Models.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent.
Proceedings of the International Joint Conference on Neural Networks, 2025


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