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The Emerged Security and Privacy of LLM Agent: A Survey with Case
  Studies

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies

28 July 2024
Feng He
Tianqing Zhu
Dayong Ye
Bo Liu
Wanlei Zhou
Philip S. Yu
    PILM
    LLMAG
    ELM
ArXivPDFHTML

Papers citing "The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies"

15 / 15 papers shown
Title
From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems
From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems
Qiaomu Li
Ying Xie
24
0
0
06 May 2025
Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
Xinyi Hou
Jiahao Han
Yanjie Zhao
Haoyu Wang
30
0
0
05 May 2025
Generative AI in Financial Institution: A Global Survey of Opportunities, Threats, and Regulation
Generative AI in Financial Institution: A Global Survey of Opportunities, Threats, and Regulation
Bikash Saha
Nanda Rani
Sandeep K. Shukla
48
0
0
30 Apr 2025
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
Vineeth Sai Narajala
Om Narayan
LLMAG
28
1
0
28 Apr 2025
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
Bang An
Shiyue Zhang
Mark Dredze
54
0
0
25 Apr 2025
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
Sanghyuck Lee
Sangkeun Park
Jaesung Lee
43
0
0
04 Apr 2025
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
Ang Li
Yin Zhou
Vethavikashini Chithrra Raghuram
Tom Goldstein
Micah Goldblum
AAML
56
7
0
12 Feb 2025
LLM Agents can Autonomously Exploit One-day Vulnerabilities
LLM Agents can Autonomously Exploit One-day Vulnerabilities
Richard Fang
R. Bindu
Akul Gupta
Daniel Kang
SILM
LLMAG
71
52
0
11 Apr 2024
V-IRL: Grounding Virtual Intelligence in Real Life
V-IRL: Grounding Virtual Intelligence in Real Life
Jihan Yang
Runyu Ding
Ellis L Brown
Xiaojuan Qi
Saining Xie
LM&Ro
46
18
0
05 Feb 2024
Mitigating Object Hallucinations in Large Vision-Language Models through
  Visual Contrastive Decoding
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng
Hang Zhang
Guanzheng Chen
Xin Li
Shijian Lu
Chunyan Miao
Li Bing
VLM
MLLM
82
196
0
28 Nov 2023
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated
  Jailbreak Prompts
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
Jiahao Yu
Xingwei Lin
Zheng Yu
Xinyu Xing
SILM
110
292
0
19 Sep 2023
Generative Agents: Interactive Simulacra of Human Behavior
Generative Agents: Interactive Simulacra of Human Behavior
J. Park
Joseph C. O'Brien
Carrie J. Cai
Meredith Ringel Morris
Percy Liang
Michael S. Bernstein
LM&Ro
AI4CE
206
1,701
0
07 Apr 2023
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
128
258
0
13 Oct 2021
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
234
447
0
14 Jul 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
264
1,798
0
14 Dec 2020
1