Whispers in the Machine: Confidentiality in LLM-integrated Systems

10 February 2024

Papers citing "Whispers in the Machine: Confidentiality in LLM-integrated Systems"

25 / 25 papers shown

Title
Prompt Obfuscation for Large Language Models David Pape Thorsten Eisenhofer Thorsten Eisenhofer Lea Schönherr AAML 98 4 0 17 Sep 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Edoardo Debenedetti Javier Rando Daniel Paleka Silaghi Fineas Florin Dragos Albastroiu ... Stefan Kraft Mario Fritz Florian Tramèr Sahar Abdelnabi Lea Schonherr 76 14 0 12 Jun 2024
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 109 249 0 05 Oct 2023
Universal and Transferable Adversarial Attacks on Aligned Language Models Andy Zou Zifan Wang Nicholas Carlini Milad Nasr J. Zico Kolter Matt Fredrikson 289 1,451 0 27 Jul 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models Wei Ping Weixin Chen Hengzhi Pei Chulin Xie Mintong Kang ... Zinan Lin Yuk-Kit Cheng Sanmi Koyejo D. Song Yue Liu 91 414 0 20 Jun 2023
On the Reliability of Watermarks for Large Language Models John Kirchenbauer Jonas Geiping Yuxin Wen Manli Shu Khalid Saifullah Kezhi Kong Kasun Fernando Aniruddha Saha Micah Goldblum Tom Goldstein WaLM 52 119 0 07 Jun 2023
Beyond the Safeguards: Exploring the Security Risks of ChatGPT Erik Derner Kristina Batistic SILM 61 67 0 13 May 2023
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 115 489 0 23 Feb 2023
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks Daniel Kang Xuechen Li Ion Stoica Carlos Guestrin Matei A. Zaharia Tatsunori Hashimoto AAML 84 251 0 11 Feb 2023
Demystifying Prompts in Language Models via Perplexity Estimation Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 115 210 0 08 Dec 2022
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods Evan Crothers Nathalie Japkowicz H. Viktor DeLMO 76 111 0 13 Oct 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 250 441 0 16 May 2022
Ethical and social risks of harm from Language Models Laura Weidinger John F. J. Mellor Maribeth Rauh Conor Griffin J. Uesato ... Lisa Anne Hendricks William S. Isaac Sean Legassick G. Irving Iason Gabriel PILM 100 1,034 0 08 Dec 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 267 4,392 0 27 Oct 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 221 4,247 0 01 Jan 2021
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 472 1,915 0 14 Dec 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 263 442 0 25 Sep 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark Kenton Lee Ming-Wei Chang Tom Kwiatkowski Michael Collins Kristina Toutanova 215 1,516 0 24 May 2019
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei Maya Kabkab Rama Chellappa AAML GAN 82 1,177 0 17 May 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 301 12,060 0 19 Jun 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension Mandar Joshi Eunsol Choi Daniel S. Weld Luke Zettlemoyer RALM 201 2,646 0 09 May 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations A. Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal AAML 48 231 0 09 Apr 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 76 713 0 21 Feb 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 61 950 0 14 Feb 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 271 19,045 0 20 Dec 2014