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Baseline Defenses for Adversarial Attacks Against Aligned Language
  Models

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

1 September 2023
Neel Jain
Avi Schwarzschild
Yuxin Wen
Gowthami Somepalli
John Kirchenbauer
Ping Yeh-Chiang
Micah Goldblum
Aniruddha Saha
Jonas Geiping
Tom Goldstein
    AAML
ArXivPDFHTML

Papers citing "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"

18 / 268 papers shown
Title
Jailbreak and Guard Aligned Language Models with Only Few In-Context
  Demonstrations
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
Zeming Wei
Yifei Wang
Ang Li
Yichuan Mo
Yisen Wang
40
233
0
10 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Alexander Robey
Eric Wong
Hamed Hassani
George J. Pappas
AAML
38
216
0
05 Oct 2023
Misusing Tools in Large Language Models With Visual Adversarial Examples
Misusing Tools in Large Language Models With Visual Adversarial Examples
Xiaohan Fu
Zihan Wang
Shuheng Li
Rajesh K. Gupta
Niloofar Mireshghallah
Taylor Berg-Kirkpatrick
Earlence Fernandes
AAML
13
24
0
04 Oct 2023
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language
  Models
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Xiaogeng Liu
Nan Xu
Muhao Chen
Chaowei Xiao
SILM
22
257
0
03 Oct 2023
On the Safety of Open-Sourced Large Language Models: Does Alignment
  Really Prevent Them From Being Misused?
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
Hangfan Zhang
Zhimeng Guo
Huaisheng Zhu
Bochuan Cao
Lu Lin
Jinyuan Jia
Jinghui Chen
Di Wu
70
23
0
02 Oct 2023
Can LLM-Generated Misinformation Be Detected?
Can LLM-Generated Misinformation Be Detected?
Canyu Chen
Kai Shu
DeLMO
29
157
0
25 Sep 2023
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
Bochuan Cao
Yu Cao
Lu Lin
Jinghui Chen
AAML
23
132
0
18 Sep 2023
RAIN: Your Language Models Can Align Themselves without Finetuning
RAIN: Your Language Models Can Align Themselves without Finetuning
Yuhui Li
Fangyun Wei
Jinjing Zhao
Chao Zhang
Hongyang R. Zhang
SILM
23
105
0
13 Sep 2023
Certifying LLM Safety against Adversarial Prompting
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar
Chirag Agarwal
Suraj Srinivas
Aaron Jiaxun Li
S. Feizi
Himabindu Lakkaraju
AAML
22
161
0
06 Sep 2023
Analyzing And Editing Inner Mechanisms Of Backdoored Language Models
Analyzing And Editing Inner Mechanisms Of Backdoored Language Models
Max Lamparth
Anka Reuel
KELM
28
10
0
24 Feb 2023
Improving alignment of dialogue agents via targeted human judgements
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
225
500
0
28 Sep 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
218
441
0
23 Aug 2022
Increasing Confidence in Adversarial Robustness Evaluations
Increasing Confidence in Adversarial Robustness Evaluations
Roland S. Zimmermann
Wieland Brendel
Florian Tramèr
Nicholas Carlini
AAML
36
16
0
28 Jun 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
195
415
0
16 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 Mar 2022
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
173
272
0
28 Sep 2021
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
98
227
0
15 Apr 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
221
436
0
25 Sep 2019
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