Team
McProtector
This team is at maximum capacity.
Project Concept
We are a passionate team fueled by curiosity and a strong drive to explore the frontiers of MCP. We are eager to learn, grow, and make meaningful contributions. With backgrounds in software engineering and data science, and hands-on industry experience, we bring both technical skill and a research mindset to the challenge. Most of us are Ph.D. or M.Sc. students actively researching state-of-the-art technologies in the field of AI.
Entry
Status: Submitted
Last saved: May 14 at 2:59 PM IDT
Team Roster (team is at max capacity)
Message board not available for this team yet.
Eliezer Shlomi Team Lead RSVP Approved
Data Scientist at Technion
Worked on the evaluation using azure and the mcp development
As a Data Scientist with 3.5 years of experience—2.5 of which focused on data science—I am currently pursuing an MSc in Data Science at the Technion. My academic research delves into the latent representations of text within Large Language Models (LLMs), aiming to enhance their application in planning tasks.
latent representations of text, Large Language Models (LLMs), planning tasks, embedding space of LLM in short/long horizon, and AI planning and reasoning.
Researching planning in natural language problem using embedding space of LLMin short/long horizon.
Shai Feldman RSVP Approved
AI Researcher at Technion
Researching ways to provide safety checks including evaluation
PHD candidate at Computer Science Department, Technion. AI researcher in the defense industry.
VLLMs, Computer vision, Reinforcement learning, Agentic AI
Conformal Prediction, Uncertainty Quantification, Statistics, Machine Learning, Deep Learning
Elad Hirshel RSVP Approved
AI Researcher at University of Haifa
Worked on the development of the safety checks
I finished my B.Sc in C.S ate age 18 with the Etgar program at the University of haifa.
After finishing it I began working in the industry as a software developer(3 years total by now), a year later I started my Masters in CS with a focus on AI and after finishing most of my courses I'm now focusing on my thesis.
Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Generative AI (including image generation and 3d image generation), Transformer architectures, AI security and robustness, NLP, and applied deep learning research.
working on Flexible Generative Transformers for my thesis.
using various jail breaking attacks on commonly used modern LLM's like gpt, Llama and testing their defenses to demonstrate the existence of security risks.
Worked on gaussian splatting and similar 3d image generation models.
Nikita Ivanov RSVP Approved
Software Engineer at Technion
Development of the MCP (tool and client) and integrating with the prompt safety verification.
I was born in 2001.
In 2024 I've finished my software engineering degree (BSc.) with excellence in the Technion.
While being a student I've worked for 2 years as a software engineer (part time).
Since then I've been working full time for the past year.
I'd like to expand my Full-Stack knowledge - master C# and learn new programming languages/platforms in depth.
I have some experience with full-stack projects that include databases, ui, client-server etc.
Mainly programming in C#, knowledge in Python, C, C++
Eliron Rahimi RSVP Approved
AI Researcher at University of Haifa
Integrating the work with the team members, including evaluation and development of the safety checks tool
I'm 21 years old and currently studying for an M.Sc. in Computer Science at the University of Haifa, specializing in AI with a thesis focused on biometric security.
I have 2.5 years of industry experience, primarily in C++ development, and I'm currently working in deep learning R&D.
I hold a B.Sc. in Computer Science from the University of Haifa, which I completed at age 18 as part of the "Etgar" program.
Large Language Models (LLMs), Biometrics, and Deep learning and its applications in security-related topics
Current projects I'm working on: LLM security project, Computer vision project – developing a Gaussian splatting-based algorithm for medical applications, and ML-based reconstruction attacks against protected biometric systems