ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.16369
  4. Cited By
Don't Say No: Jailbreaking LLM by Suppressing Refusal

Don't Say No: Jailbreaking LLM by Suppressing Refusal

25 April 2024
Yukai Zhou
Wenjie Wang
    AAML
ArXivPDFHTML

Papers citing "Don't Say No: Jailbreaking LLM by Suppressing Refusal"

16 / 16 papers shown
Title
From job titles to jawlines: Using context voids to study generative AI systems
From job titles to jawlines: Using context voids to study generative AI systems
Shahan Ali Memon
Soham De
Sungha Kang
Riyan Mujtaba
Bedoor K. AlShebli
Katie Davis
Jaime Snyder
Jevin D. West
12
0
0
16 Apr 2025
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
Aman Goel
Xian Carrie Wu
Zhe Wang
Dmitriy Bespalov
Yanjun Qi
44
0
0
21 Feb 2025
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
Fenghua Weng
Jian Lou
Jun Feng
Minlie Huang
Wenjie Wang
AAML
64
1
0
17 Feb 2025
LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena
LLM Content Moderation and User Satisfaction: Evidence from Response Refusals in Chatbot Arena
Stefan Pasch
27
0
0
08 Jan 2025
Steering Language Model Refusal with Sparse Autoencoders
Kyle O'Brien
David Majercak
Xavier Fernandes
Richard Edgar
Jingya Chen
Harsha Nori
Dean Carignan
Eric Horvitz
Forough Poursabzi-Sangde
LLMSV
52
9
0
18 Nov 2024
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and
  Prompt Types
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
Yutao Mou
Shikun Zhang
Wei Ye
ELM
25
5
0
29 Oct 2024
Adversarial Attacks on Large Language Models Using Regularized
  Relaxation
Adversarial Attacks on Large Language Models Using Regularized Relaxation
Samuel Jacob Chacko
Sajib Biswas
Chashi Mahiul Islam
Fatema Tabassum Liza
Xiuwen Liu
AAML
23
1
0
24 Oct 2024
Multilingual Blending: LLM Safety Alignment Evaluation with Language
  Mixture
Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture
Jiayang Song
Yuheng Huang
Zhehua Zhou
Lei Ma
34
6
0
10 Jul 2024
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
Sibo Yi
Yule Liu
Zhen Sun
Tianshuo Cong
Xinlei He
Jiaxing Song
Ke Xu
Qi Li
AAML
24
77
0
05 Jul 2024
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Anton Xue
Avishree Khare
Rajeev Alur
Surbhi Goel
Eric Wong
34
2
0
21 Jun 2024
No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning
  Attacks
No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks
Chak Tou Leong
Yi Cheng
Kaishuai Xu
Jian Wang
Hanlin Wang
Wenjie Li
AAML
41
17
0
25 May 2024
Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation
Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation
Yuxi Li
Yi Liu
Yuekang Li
Ling Shi
Gelei Deng
Shengquan Chen
Kailong Wang
24
12
0
20 May 2024
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong
Delong Ran
Jinyuan Liu
Conglei Wang
Tianshuo Cong
Anyu Wang
Sisi Duan
Xiaoyun Wang
MLLM
127
116
0
09 Nov 2023
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
273
1,561
0
18 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
1