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Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt
  Tuning and Discovery

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery

7 February 2023
Yuxin Wen
Neel Jain
John Kirchenbauer
Micah Goldblum
Jonas Geiping
Tom Goldstein
    VLM
    DiffM
ArXivPDFHTML

Papers citing "Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery"

50 / 197 papers shown
Title
Open-Vocabulary Attention Maps with Token Optimization for Semantic
  Segmentation in Diffusion Models
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
Pablo Marcos-Manchón
Roberto Alcover-Couso
Juan C. Sanmiguel
Jose M. Martínez
VLM
49
18
0
21 Mar 2024
Helpful or Harmful? Exploring the Efficacy of Large Language Models for
  Online Grooming Prevention
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention
Ellie Prosser
Matthew Edwards
42
6
0
14 Mar 2024
PromptCharm: Text-to-Image Generation through Multi-modal Prompting and
  Refinement
PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement
Zhijie Wang
Yuheng Huang
Da Song
Lei Ma
Tianyi Zhang
DiffM
50
58
0
06 Mar 2024
Regeneration Based Training-free Attribution of Fake Images Generated by
  Text-to-Image Generative Models
Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
Meiling Li
Zhenxing Qian
Xinpeng Zhang
39
2
0
03 Mar 2024
Accelerating Greedy Coordinate Gradient via Probe Sampling
Accelerating Greedy Coordinate Gradient via Probe Sampling
Yiran Zhao
Wenyue Zheng
Tianle Cai
Xuan Long Do
Kenji Kawaguchi
Anirudh Goyal
Michael Shieh
51
11
0
02 Mar 2024
Personalized Federated Instruction Tuning via Neural Architecture Search
Personalized Federated Instruction Tuning via Neural Architecture Search
Peng Zhang
Yingbo Zhou
Ming Hu
Junxian Feng
Jiawen Weng
Mingsong Chen
FedML
38
4
0
26 Feb 2024
Defending Large Language Models against Jailbreak Attacks via Semantic
  Smoothing
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
Jiabao Ji
Bairu Hou
Alexander Robey
George J. Pappas
Hamed Hassani
Yang Zhang
Eric Wong
Shiyu Chang
AAML
50
41
0
25 Feb 2024
Fast Adversarial Attacks on Language Models In One GPU Minute
Fast Adversarial Attacks on Language Models In One GPU Minute
Vinu Sankar Sadasivan
Shoumik Saha
Gaurang Sriramanan
Priyatham Kattakinda
Atoosa Malemir Chegini
S. Feizi
MIALM
43
34
0
23 Feb 2024
Coercing LLMs to do and reveal (almost) anything
Coercing LLMs to do and reveal (almost) anything
Jonas Geiping
Alex Stein
Manli Shu
Khalid Saifullah
Yuxin Wen
Tom Goldstein
AAML
48
43
0
21 Feb 2024
A User-Friendly Framework for Generating Model-Preferred Prompts in
  Text-to-Image Synthesis
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis
Nailei Hei
Qianyu Guo
Zihao Wang
Yan Wang
Haofen Wang
Wenqiang Zhang
DiffM
36
2
0
20 Feb 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement
  Learning for Discrete Prompt Optimization
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
Yasaman Jafari
Dheeraj Mekala
Rose Yu
Taylor Berg-Kirkpatrick
53
7
0
18 Feb 2024
Benchmarking Knowledge Boundary for Large Language Models: A Different
  Perspective on Model Evaluation
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation
Xunjian Yin
Xu Zhang
Jie Ruan
Xiaojun Wan
ELM
41
18
0
18 Feb 2024
A Trembling House of Cards? Mapping Adversarial Attacks against Language
  Agents
A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents
Lingbo Mo
Zeyi Liao
Boyuan Zheng
Yu-Chuan Su
Chaowei Xiao
Huan Sun
AAML
LLMAG
51
15
0
15 Feb 2024
Efficient Prompt Optimization Through the Lens of Best Arm
  Identification
Efficient Prompt Optimization Through the Lens of Best Arm Identification
Chengshuai Shi
Kun Yang
Zihan Chen
Jundong Li
Jing Yang
Cong Shen
50
6
0
15 Feb 2024
How Secure Are Large Language Models (LLMs) for Navigation in Urban
  Environments?
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?
Congcong Wen
Jiazhao Liang
Shuaihang Yuan
Hao Huang
Yi Fang
AAML
38
5
0
14 Feb 2024
Attacking Large Language Models with Projected Gradient Descent
Attacking Large Language Models with Projected Gradient Descent
Simon Geisler
Tom Wollschlager
M. H. I. Abdalla
Johannes Gasteiger
Stephan Günnemann
AAML
SILM
49
50
0
14 Feb 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn
David Dobre
Sophie Xhonneux
Gauthier Gidel
Stephan Gunnemann
AAML
51
38
0
14 Feb 2024
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
Xing-ming Guo
Fangxu Yu
Huan Zhang
Lianhui Qin
Bin Hu
AAML
117
73
0
13 Feb 2024
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation
  and Echopraxia
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia
Guangyu Shen
Shuyang Cheng
Kai-xian Zhang
Guanhong Tao
Shengwei An
Lu Yan
Zhuo Zhang
Shiqing Ma
Xiangyu Zhang
20
11
0
08 Feb 2024
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming
  and Robust Refusal
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mantas Mazeika
Long Phan
Xuwang Yin
Andy Zou
Zifan Wang
...
Nathaniel Li
Steven Basart
Bo Li
David A. Forsyth
Dan Hendrycks
AAML
35
327
0
06 Feb 2024
Intent-based Prompt Calibration: Enhancing prompt optimization with
  synthetic boundary cases
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases
Elad Levi
Eli Brosh
Matan Friedmann
27
8
0
05 Feb 2024
Vision-Language Models Provide Promptable Representations for
  Reinforcement Learning
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen
Oier Mees
Aviral Kumar
Sergey Levine
VLM
LM&Ro
54
23
0
05 Feb 2024
Jailbreaking Attack against Multimodal Large Language Model
Jailbreaking Attack against Multimodal Large Language Model
Zhenxing Niu
Haoxuan Ji
Xinbo Gao
Gang Hua
Rong Jin
50
61
0
04 Feb 2024
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with
  Prototypical Embedding
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding
Jianxiang Lu
Cong Xie
Hui Guo
DiffM
108
5
0
28 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
38
78
0
25 Jan 2024
Fluent dreaming for language models
Fluent dreaming for language models
T. B. Thompson
Zygimantas Straznickas
Michael Sklar
VLM
35
2
0
24 Jan 2024
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as
  Programmers
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Aleksandar Stanić
Sergi Caelles
Michael Tschannen
LRM
VLM
27
9
0
03 Jan 2024
Prompt Expansion for Adaptive Text-to-Image Generation
Prompt Expansion for Adaptive Text-to-Image Generation
Siddhartha Datta
Alexander Ku
Deepak Ramachandran
Peter Anderson
DiffM
47
9
0
27 Dec 2023
Black-Box Tuning of Vision-Language Models with Effective Gradient
  Approximation
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation
Zixian Guo
Yuxiang Wei
Ming-Yu Liu
Zhilong Ji
Jinfeng Bai
Yiwen Guo
Wangmeng Zuo
VLM
36
8
0
26 Dec 2023
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image
  Diffusion Models
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
Shweta Mahajan
Tanzila Rahman
Kwang Moo Yi
Leonid Sigal
DiffM
43
17
0
19 Dec 2023
Silent Guardian: Protecting Text from Malicious Exploitation by Large
  Language Models
Silent Guardian: Protecting Text from Malicious Exploitation by Large Language Models
Jiawei Zhao
Kejiang Chen
Xianjian Yuan
Yuang Qi
Weiming Zhang
Neng H. Yu
67
8
0
15 Dec 2023
MotionCrafter: One-Shot Motion Customization of Diffusion Models
MotionCrafter: One-Shot Motion Customization of Diffusion Models
Yuxin Zhang
Fan Tang
Nisha Huang
Haibin Huang
Chongyang Ma
Weiming Dong
Changsheng Xu
DiffM
VGen
46
14
0
08 Dec 2023
Make Them Spill the Beans! Coercive Knowledge Extraction from
  (Production) LLMs
Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs
Zhuo Zhang
Guangyu Shen
Guanhong Tao
Shuyang Cheng
Xiangyu Zhang
41
13
0
08 Dec 2023
Analyzing the Inherent Response Tendency of LLMs: Real-World
  Instructions-Driven Jailbreak
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak
Yanrui Du
Sendong Zhao
Ming Ma
Yuhan Chen
Bing Qin
26
15
0
07 Dec 2023
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Anay Mehrotra
Manolis Zampetakis
Paul Kassianik
Blaine Nelson
Hyrum Anderson
Yaron Singer
Amin Karbasi
44
211
0
04 Dec 2023
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright
  Protection for Text-to-Image Generative Models
VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
Xiang Li
Qianli Shen
Kenji Kawaguchi
27
4
0
29 Nov 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt
  Engineer
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Bo-wen Li
Zhangyang Wang
53
29
0
27 Nov 2023
CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image
  Personalization
CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization
Ruoyu Zhao
Mingrui Zhu
Shiyin Dong
Nannan Wang
Xinbo Gao
DiffM
35
13
0
24 Nov 2023
Hijacking Large Language Models via Adversarial In-Context Learning
Hijacking Large Language Models via Adversarial In-Context Learning
Yao Qiang
Xiangyu Zhou
Dongxiao Zhu
34
32
0
16 Nov 2023
Do Physicians Know How to Prompt? The Need for Automatic Prompt
  Optimization Help in Clinical Note Generation
Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
Zonghai Yao
Ahmed Jaafar
Beining Wang
Zhichao Yang
Hong-ye Yu
LM&MA
32
2
0
16 Nov 2023
Stealthy and Persistent Unalignment on Large Language Models via
  Backdoor Injections
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections
Yuanpu Cao
Bochuan Cao
Jinghui Chen
34
24
0
15 Nov 2023
How Trustworthy are Open-Source LLMs? An Assessment under Malicious
  Demonstrations Shows their Vulnerabilities
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
Lingbo Mo
Boshi Wang
Muhao Chen
Huan Sun
31
27
0
15 Nov 2023
Prompt have evil twins
Prompt have evil twins
Rimon Melamed
Lucas H. McCabe
T. Wakhare
Yejin Kim
H. H. Huang
Enric Boix-Adsera
38
3
0
13 Nov 2023
In-context Vectors: Making In Context Learning More Effective and
  Controllable Through Latent Space Steering
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Sheng Liu
Haotian Ye
Lei Xing
James Y. Zou
26
87
0
11 Nov 2023
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image
  Detectors
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
You-Ming Chang
Chen Yeh
Wei-Chen Chiu
Ning Yu
VPVLM
VLM
78
23
0
26 Oct 2023
PromptAgent: Strategic Planning with Language Models Enables
  Expert-level Prompt Optimization
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang
Chenxi Li
Zhen Wang
Fan Bai
Haotian Luo
Jiayou Zhang
Nebojsa Jojic
Eric P. Xing
Zhiting Hu
34
102
0
25 Oct 2023
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large
  Language Models
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models
Sicheng Zhu
Ruiyi Zhang
Bang An
Gang Wu
Joe Barrow
Zichao Wang
Furong Huang
A. Nenkova
Tong Sun
SILM
AAML
30
41
0
23 Oct 2023
Language Model Unalignment: Parametric Red-Teaming to Expose Hidden
  Harms and Biases
Language Model Unalignment: Parametric Red-Teaming to Expose Hidden Harms and Biases
Rishabh Bhardwaj
Soujanya Poria
ALM
57
16
0
22 Oct 2023
InferDPT: Privacy-Preserving Inference for Black-box Large Language
  Model
InferDPT: Privacy-Preserving Inference for Black-box Large Language Model
Meng Tong
Kejiang Chen
Jie Zhang
Yuang Qi
Weiming Zhang
Neng H. Yu
Tianwei Zhang
Zhikun Zhang
SILM
42
2
0
18 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still
  Easy To Generate Unsafe Images ... For Now
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Yimeng Zhang
Jinghan Jia
Xin Chen
Aochuan Chen
Yihua Zhang
Jiancheng Liu
Ke Ding
Sijia Liu
DiffM
30
83
0
18 Oct 2023
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