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Removing RLHF Protections in GPT-4 via Fine-Tuning
v1v2v3 (latest)

Removing RLHF Protections in GPT-4 via Fine-Tuning

9 November 2023
Qiusi Zhan
Richard Fang
R. Bindu
Akul Gupta
Tatsunori Hashimoto
Daniel Kang
    MUAAML
ArXiv (abs)PDFHTML

Papers citing "Removing RLHF Protections in GPT-4 via Fine-Tuning"

31 / 81 papers shown
Title
Safeguarding Large Language Models: A Survey
Safeguarding Large Language Models: A Survey
Yi Dong
Ronghui Mu
Yanghao Zhang
Siqi Sun
Tianle Zhang
...
Yi Qi
Jinwei Hu
Jie Meng
Saddek Bensalem
Xiaowei Huang
OffRLKELMAILaw
99
26
0
03 Jun 2024
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
Richard Fang
Antony Kellermann
Akul Gupta
Qiusi Zhan
Richard Fang
R. Bindu
Daniel Kang
LLMAG
109
36
0
02 Jun 2024
Stress-Testing Capability Elicitation With Password-Locked Models
Stress-Testing Capability Elicitation With Password-Locked Models
Ryan Greenblatt
Fabien Roger
Dmitrii Krasheninnikov
David M. Krueger
85
18
0
29 May 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Yue Liu
Dawn Song
Peter Henderson
Prateek Mittal
AAML
117
12
0
29 May 2024
Lazy Safety Alignment for Large Language Models against Harmful
  Fine-tuning
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning
Tiansheng Huang
Sihao Hu
Fatih Ilhan
Selim Furkan Tekin
Ling Liu
165
32
0
28 May 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large
  Language Models
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
Sheng-Hsuan Peng
Pin-Yu Chen
Matthew Hull
Duen Horng Chau
102
30
0
27 May 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Chia-Yi Hsu
Yu-Lin Tsai
Chih-Hsun Lin
Pin-Yu Chen
Chia-Mu Yu
Chun-ying Huang
143
56
0
27 May 2024
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Rheeya Uppaal
Apratim De
Yiting He
Yiquao Zhong
Junjie Hu
160
7
0
22 May 2024
Hummer: Towards Limited Competitive Preference Dataset
Hummer: Towards Limited Competitive Preference Dataset
Li Jiang
Yusen Wu
Junwu Xiong
Jingqing Ruan
Yichuan Ding
Qingpei Guo
ZuJie Wen
Jun Zhou
Xiaotie Deng
91
7
0
19 May 2024
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus
Arman Zharmagambetov
Chuan Guo
Brandon Amos
Yuandong Tian
AAML
142
67
0
21 Apr 2024
LLM Agents can Autonomously Exploit One-day Vulnerabilities
LLM Agents can Autonomously Exploit One-day Vulnerabilities
Richard Fang
R. Bindu
Akul Gupta
Daniel Kang
SILMLLMAG
147
67
0
11 Apr 2024
Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of
  Generative Agents
Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Generative Agents
Seth Lazar
SILM
67
1
0
10 Apr 2024
Defending Against Unforeseen Failure Modes with Latent Adversarial
  Training
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Stephen Casper
Lennart Schulze
Oam Patel
Dylan Hadfield-Menell
AAML
124
40
0
08 Mar 2024
A Safe Harbor for AI Evaluation and Red Teaming
A Safe Harbor for AI Evaluation and Red Teaming
Shayne Longpre
Sayash Kapoor
Kevin Klyman
Ashwin Ramaswami
Rishi Bommasani
...
Daniel Kang
Sandy Pentland
Arvind Narayanan
Percy Liang
Peter Henderson
106
42
0
07 Mar 2024
Guardrail Baselines for Unlearning in LLMs
Guardrail Baselines for Unlearning in LLMs
Pratiksha Thaker
Yash Maurya
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
MU
107
53
0
05 Mar 2024
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li
Alexander Pan
Anjali Gopal
Summer Yue
Daniel Berrios
...
Yan Shoshitaishvili
Jimmy Ba
K. Esvelt
Alexandr Wang
Dan Hendrycks
ELM
129
195
0
05 Mar 2024
Eight Methods to Evaluate Robust Unlearning in LLMs
Eight Methods to Evaluate Robust Unlearning in LLMs
Aengus Lynch
Phillip Guo
Aidan Ewart
Stephen Casper
Dylan Hadfield-Menell
ELMMU
129
82
0
26 Feb 2024
Immunization against harmful fine-tuning attacks
Immunization against harmful fine-tuning attacks
Domenic Rosati
Jan Wehner
Kai Williams
Lukasz Bartoszcze
Jan Batzner
Hassan Sajjad
Frank Rudzicz
AAML
109
22
0
26 Feb 2024
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced
  Safety Alignment
Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
Jiong Wang
Jiazhao Li
Yiquan Li
Xiangyu Qi
Junjie Hu
Yixuan Li
P. McDaniel
Muhao Chen
Bo Li
Chaowei Xiao
AAMLSILM
113
22
0
22 Feb 2024
A StrongREJECT for Empty Jailbreaks
A StrongREJECT for Empty Jailbreaks
Alexandra Souly
Qingyuan Lu
Dillon Bowen
Tu Trinh
Elvis Hsieh
...
Pieter Abbeel
Justin Svegliato
Scott Emmons
Olivia Watkins
Sam Toyer
113
98
0
15 Feb 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank
  Modifications
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei
Kaixuan Huang
Yangsibo Huang
Tinghao Xie
Xiangyu Qi
Mengzhou Xia
Prateek Mittal
Mengdi Wang
Peter Henderson
AAML
153
118
0
07 Feb 2024
LLM Agents can Autonomously Hack Websites
LLM Agents can Autonomously Hack Websites
Richard Fang
R. Bindu
Akul Gupta
Qiusi Zhan
Daniel Kang
LLMAG
75
63
0
06 Feb 2024
Vaccine: Perturbation-aware Alignment for Large Language Model
Vaccine: Perturbation-aware Alignment for Large Language Model
Tiansheng Huang
Sihao Hu
Ling Liu
119
49
0
02 Feb 2024
Weak-to-Strong Jailbreaking on Large Language Models
Weak-to-Strong Jailbreaking on Large Language Models
Xuandong Zhao
Xianjun Yang
Tianyu Pang
Chao Du
Lei Li
Yu-Xiang Wang
William Y. Wang
140
62
0
30 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
154
95
0
25 Jan 2024
Exploiting Novel GPT-4 APIs
Exploiting Novel GPT-4 APIs
Kellin Pelrine
Mohammad Taufeeque
Michal Zajkac
Euan McLean
Adam Gleave
SILM
62
21
0
21 Dec 2023
Learning and Forgetting Unsafe Examples in Large Language Models
Learning and Forgetting Unsafe Examples in Large Language Models
Jiachen Zhao
Zhun Deng
David Madras
James Zou
Mengye Ren
MUKELMCLL
152
18
0
20 Dec 2023
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies
  the Privacy Risks
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
Xiaoyi Chen
Siyuan Tang
Rui Zhu
Shijun Yan
Lei Jin
Zihao Wang
Liya Su
Zhikun Zhang
Wenyuan Xu
Haixu Tang
AAMLPILM
76
24
0
24 Oct 2023
FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively
  Discovering Jailbreak Vulnerabilities in Large Language Models
FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models
Dongyu Yao
Jianshu Zhang
Ian G. Harris
Marcel Carlsson
99
33
0
11 Sep 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models:
  A Survey and Outlook
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook
Mingyuan Fan
Chengyu Wang
Cen Chen
Yang Liu
Jun Huang
HILM
96
3
0
31 Jul 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from
  Human Feedback
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper
Xander Davies
Claudia Shi
T. Gilbert
Jérémy Scheurer
...
Erdem Biyik
Anca Dragan
David M. Krueger
Dorsa Sadigh
Dylan Hadfield-Menell
ALMOffRL
162
534
0
27 Jul 2023
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