PDF Viewer

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (26)

[1]
AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents
2025Arman Zharmagambetov, Chuan Guo et al.
[2]
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
2024Yijia Shao, Tianshi Li et al.
[3]
AgentDojo: A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents
2024Edoardo Debenedetti, Jie Zhang et al.
[4]
AirGapAgent: Protecting Privacy-Conscious Conversational Agents
2024Eugene Bagdasarian, Ren Yi et al.
[5]
TrustLLM: Trustworthiness in Large Language Models
2024Lichao Sun, Yue Huang et al.
[6]
The EU General Data Protection Regulation (GDPR): A Practical Guide
2024Paul Voigt, Axel von dem Bussche
[7]
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
2023Hakan Inan, K. Upasani et al.
[8]
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition
2023Sander Schulhoff, Jeremy Pinto et al.
[9]
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
2023Traian Rebedea, R. Dinu et al.
[10]
The Rise and Potential of Large Language Model Based Agents: A Survey
2023Zhiheng Xi, Wenxiang Chen et al.
[11]
A survey on large language model based autonomous agents
2023Lei Wang, Chengbang Ma et al.
[12]
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
2023Qingyun Wu, Gagan Bansal et al.
[13]
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
2023Sirui Hong, Xiawu Zheng et al.
[14]
Universal and Transferable Adversarial Attacks on Aligned Language Models
2023Andy Zou, Zifan Wang et al.
[15]
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
2023Boxin Wang, Weixin Chen et al.
[16]
Prompt Injection attack against LLM-integrated Applications
2023Yi Liu, Gelei Deng et al.
[17]
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
2023Kai Greshake, Sahar Abdelnabi et al.
[18]
Analyzing Leakage of Personally Identifiable Information in Language Models
2023Nils Lukas, A. Salem et al.
[19]
Constitutional AI: Harmlessness from AI Feedback
2022Yuntao Bai, Saurav Kadavath et al.
[20]
Red Teaming Language Models with Language Models
2022Ethan Perez, Saffron Huang et al.

Showing 20 of 26 references

Founder's Pitch

"AgentLeak offers a benchmark for assessing privacy leakage risks in multi-agent LLM systems, crucial for safeguarding sensitive inter-agent communications."

Privacy in AI SystemsScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

2/4 signals

5

Series A Potential

4/4 signals

10

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/12/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.