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EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation

16 May 2025
Ruobing Yao
Yifei Zhang
Shuang Song
Neng Gao
Chenyang Tu
    SILM
ArXiv (abs)PDFHTML

Papers citing "EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation"

21 / 21 papers shown
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation SystemsInternational Conference on Computational Linguistics (COLING), 2024
Xuyang Wu
Shuowei Li
Hsin-Tai Wu
Zhiqiang Tao
Yi Fang
512
25
0
29 Sep 2024
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in
  Retrieval-Augmented Generative Models
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
Zhen Tan
Chengshuai Zhao
Raha Moraffah
Jiayi Zhang
Song Wang
Jundong Li
Tianlong Chen
Huan Liu
SILM
229
47
0
26 Jun 2024
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents
Avital Shafran
R. Schuster
Vitaly Shmatikov
719
62
0
09 Jun 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with
  Adaptive Adversarial Training
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
Feiteng Fang
Yuelin Bai
Shiwen Ni
Min Yang
Xiaojun Chen
Ruifeng Xu
AAMLRALM
354
71
0
31 May 2024
Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
Harsh Chaudhari
Giorgio Severi
John Abascal
Matthew Jagielski
Christopher A. Choquette-Choo
Milad Nasr
Cristina Nita-Rotaru
Cristina Nita-Rotaru
Alina Oprea
SILMAAML
398
57
0
30 May 2024
Certifiably Robust RAG against Retrieval Corruption
Certifiably Robust RAG against Retrieval Corruption
Chong Xiang
Tong Wu
Zexuan Zhong
David Wagner
Danqi Chen
Prateek Mittal
SILM
311
90
0
24 May 2024
RAFT: Adapting Language Model to Domain Specific RAG
RAFT: Adapting Language Model to Domain Specific RAG
Tianjun Zhang
Shishir G. Patil
Naman Jain
Sheng Shen
Matei A. Zaharia
Ion Stoica
Joseph E. Gonzalez
RALM
316
296
0
15 Mar 2024
RAGTruth: A Hallucination Corpus for Developing Trustworthy
  Retrieval-Augmented Language Models
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Cheng Niu
Yuanhao Wu
Juno Zhu
Siliang Xu
Kashun Shum
Randy Zhong
Juntong Song
Tong Zhang
HILM
411
186
0
31 Dec 2023
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Making Retrieval-Augmented Language Models Robust to Irrelevant ContextInternational Conference on Learning Representations (ICLR), 2023
Ori Yoran
Tomer Wolfson
Ori Ram
Jonathan Berant
RALMLRM
512
305
0
02 Oct 2023
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
RA-DIT: Retrieval-Augmented Dual Instruction TuningInternational Conference on Learning Representations (ICLR), 2023
Xi Lin
Xilun Chen
Mingda Chen
Weijia Shi
Maria Lomeli
...
Jacob Kahn
Gergely Szilvasy
Mike Lewis
Luke Zettlemoyer
Scott Yih
RALM
431
208
0
02 Oct 2023
Bias and Fairness in Large Language Models: A Survey
Bias and Fairness in Large Language Models: A SurveyComputational Linguistics (CL), 2023
Isabel O. Gallegos
Ryan Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
394
888
0
02 Sep 2023
Universal and Transferable Adversarial Attacks on Aligned Language
  Models
Universal and Transferable Adversarial Attacks on Aligned Language Models
Andy Zou
Zifan Wang
Nicholas Carlini
Milad Nasr
J. Zico Kolter
Matt Fredrikson
623
2,304
0
27 Jul 2023
Jailbroken: How Does LLM Safety Training Fail?
Jailbroken: How Does LLM Safety Training Fail?Neural Information Processing Systems (NeurIPS), 2023
Alexander Wei
Nika Haghtalab
Jacob Steinhardt
769
1,412
0
05 Jul 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaNeural Information Processing Systems (NeurIPS), 2023
Lianmin Zheng
Wei-Lin Chiang
Ying Sheng
Siyuan Zhuang
Zhanghao Wu
...
Dacheng Li
Eric Xing
Haotong Zhang
Joseph E. Gonzalez
Ion Stoica
ALMOSLMELM
3.2K
6,617
0
09 Jun 2023
Not what you've signed up for: Compromising Real-World LLM-Integrated
  Applications with Indirect Prompt Injection
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Kai Greshake
Sahar Abdelnabi
Shailesh Mishra
C. Endres
Thorsten Holz
Mario Fritz
SILM
450
785
0
23 Feb 2023
REPLUG: Retrieval-Augmented Black-Box Language Models
REPLUG: Retrieval-Augmented Black-Box Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Weijia Shi
Sewon Min
Michihiro Yasunaga
Minjoon Seo
Rich James
M. Lewis
Luke Zettlemoyer
Anuj Kumar
RALMVLMKELM
712
855
0
30 Jan 2023
Demonstrate-Search-Predict: Composing retrieval and language models for
  knowledge-intensive NLP
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Omar Khattab
Keshav Santhanam
Xiang Lisa Li
David Leo Wright Hall
Abigail Z. Jacobs
Christopher Potts
Matei A. Zaharia
RALMKELM
268
340
0
28 Dec 2022
Unsupervised Dense Information Retrieval with Contrastive Learning
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard
Mathilde Caron
Lucas Hosseini
Sebastian Riedel
Piotr Bojanowski
Armand Joulin
Edouard Grave
RALM
769
1,245
0
16 Dec 2021
Approximate Nearest Neighbor Negative Contrastive Learning for Dense
  Text Retrieval
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong
Chenyan Xiong
Ye Li
Kwok-Fung Tang
Jialin Liu
Paul N. Bennett
Junaid Ahmed
Arnold Overwijk
904
1,432
0
01 Jul 2020
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
898
3,623
0
25 Sep 2018
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj
Daniel Fernando Campos
Nick Craswell
Li Deng
Jianfeng Gao
...
Mir Rosenberg
Xia Song
Alina Stoica
Saurabh Tiwary
Tong Wang
RALM
829
3,162
0
28 Nov 2016
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