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An Early Categorization of Prompt Injection Attacks on Large Language
  Models

An Early Categorization of Prompt Injection Attacks on Large Language Models

31 January 2024
Sippo Rossi
Alisia Marianne Michel
R. Mukkamala
J. Thatcher
    SILM
    AAML
ArXivPDFHTML

Papers citing "An Early Categorization of Prompt Injection Attacks on Large Language Models"

13 / 13 papers shown
Title
Defending against Indirect Prompt Injection by Instruction Detection
Defending against Indirect Prompt Injection by Instruction Detection
Tongyu Wen
Chenglong Wang
Xiyuan Yang
Haoyu Tang
Yueqi Xie
Lingjuan Lyu
Zhicheng Dou
Fangzhao Wu
AAML
24
0
0
08 May 2025
Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
Chetan Pathade
AAML
SILM
46
0
0
07 May 2025
Attack and defense techniques in large language models: A survey and new perspectives
Attack and defense techniques in large language models: A survey and new perspectives
Zhiyu Liao
Kang Chen
Yuanguo Lin
Kangkang Li
Yunxuan Liu
Hefeng Chen
Xingwang Huang
Yuanhui Yu
AAML
54
0
0
02 May 2025
Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models
Jailbreak Detection in Clinical Training LLMs Using Feature-Based Predictive Models
Tri Nguyen
Lohith Srikanth Pentapalli
Magnus Sieverding
Laurah Turner
Seth Overla
...
Michael Gharib
Matt Kelleher
Michael Shukis
Cameron Pawlik
Kelly Cohen
48
0
0
21 Apr 2025
You've Changed: Detecting Modification of Black-Box Large Language Models
You've Changed: Detecting Modification of Black-Box Large Language Models
Alden Dima
James R. Foulds
Shimei Pan
Philip G. Feldman
30
0
0
14 Apr 2025
Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection
Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection
Ryan Marinelli
Josef Pichlmeier
Tamás Bisztray
LRM
36
0
0
27 Mar 2025
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
Dhia Elhaq Rzig
Dhruba Jyoti Paul
Kaiser Pister
Jordan Henkel
Foyzul Hassan
75
0
0
21 Jan 2025
CROW: Eliminating Backdoors from Large Language Models via Internal
  Consistency Regularization
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
Nay Myat Min
Long H. Pham
Yige Li
Jun Sun
AAML
64
3
0
18 Nov 2024
Palisade -- Prompt Injection Detection Framework
Palisade -- Prompt Injection Detection Framework
Sahasra Kokkula
Somanathan R
Nandavardhan R
Aashishkumar
G Divya
AAML
25
1
0
28 Oct 2024
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
Xuefeng Du
Reshmi Ghosh
Robert Sim
Ahmed Salem
Vitor Carvalho
Emily Lawton
Yixuan Li
Jack W. Stokes
VLM
AAML
32
5
0
01 Oct 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
203
2,232
0
22 Mar 2023
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 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
267
1,798
0
14 Dec 2020
1