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Transfer Learning without Knowing: Reprogramming Black-box Machine
  Learning Models with Scarce Data and Limited Resources
v1v2 (latest)

Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources

International Conference on Machine Learning (ICML), 2020
17 July 2020
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
    AAMLMLAUBDL
ArXiv (abs)PDFHTML

Papers citing "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources"

50 / 74 papers shown
Prompt-based Adaptation in Large-scale Vision Models: A Survey
Prompt-based Adaptation in Large-scale Vision Models: A Survey
Xi Xiao
Yunbei Zhang
Lin Zhao
Y. Liu
Xiaoying Liao
...
Xue Lin
Min Xu
Qifan Wang
Tianyang Wang
Cheng Han
VPVLMVLM
313
11
0
15 Oct 2025
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
Shohei Enomoto
184
0
0
09 Oct 2025
Efficient Morphology-Aware Policy Transfer to New Embodiments
Efficient Morphology-Aware Policy Transfer to New Embodiments
Michael Przystupa
Hongyao Tang
Martin Jägersand
Santiago Miret
Mariano Phielipp
Matthew E. Taylor
Glen Berseth
183
1
0
05 Aug 2025
Test-Time Model Adaptation for Quantized Neural Networks
Test-Time Model Adaptation for Quantized Neural Networks
Zeshuai Deng
Guohao Chen
Shuaicheng Niu
Hui Luo
Shuhai Zhang
Yifan Yang
Renjie Chen
Wei Luo
Mingkui Tan
MQ
223
3
0
04 Aug 2025
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
Zesheng Ye
C. Cai
Ruijiang Dong
Jianzhong Qi
Bingquan Shen
Pin-Yu Chen
Feng Liu
805
3
0
05 Jun 2025
Vocabulary-free few-shot learning for Vision-Language Models
Vocabulary-free few-shot learning for Vision-Language Models
Maxime Zanella
Clément Fuchs
Ismail Ben Ayed
Christophe De Vleeschouwer
VLM
352
1
0
04 Jun 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
E-InMeMo: Enhanced Prompting for Visual In-Context LearningJournal of Imaging (JI), 2025
Jiahao Zhang
Bowen Wang
Hong Liu
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
401
2
0
25 Apr 2025
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2025
Seonghwan Park
Jaehyeon Jeong
Yongjun Kim
Jaeho Lee
Namhoon Lee
VLM
407
6
0
09 Apr 2025
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data SynthesisIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Chia-Yi Hsu
Jia-You Chen
Yu-Lin Tsai
Chih-Hsun Lin
Pin-Yu Chen
Chia-Mu Yu
Chun-ying Huang
279
0
0
20 Mar 2025
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity
Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity
Xiaohao Xu
Feng Xue
Xianrui Li
Haowei Li
Steve Yang
Tianze Zhang
Matthew Johnson-Roberson
Xiaonan Huang
3DV
324
2
0
08 Mar 2025
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
REFINE: Inversion-Free Backdoor Defense via Model ReprogrammingInternational Conference on Learning Representations (ICLR), 2025
Yuxiao Chen
Shuo Shao
Enhao Huang
Yiming Li
Pin-Yu Chen
Zhan Qin
Kui Ren
AAML
311
23
0
22 Feb 2025
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting
Yibo Xu
Dawei Zhou
Decheng Liu
N. Wang
AAML
312
0
0
06 Feb 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model AdaptationInternational Conference on Learning Representations (ICLR), 2025
Can Jin
Ying Li
Mingyu Zhao
Shiyu Zhao
Zhenting Wang
Xiaoxiao He
Ligong Han
Tong Che
Dimitris N. Metaxas
VPVLMVLM
1.2K
11
0
02 Feb 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun
Ren Wang
Yihua Zhang
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Sijia Liu
Yan Yan
AAMLMU
657
3
0
21 Dec 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized
  Back-Propagation-Free Approach
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach
Yequan Zhao
Hai Li
Ian Young
Zheng Zhang
MQ
435
4
0
07 Nov 2024
When Does Visual Prompting Outperform Linear Probing for Vision-Language
  Models? A Likelihood Perspective
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood PerspectiveIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Tsung-Yi Ho
VPVLMLRMVLM
431
1
0
03 Sep 2024
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for
  Accurate Black-Box Transfer Learning
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer LearningACM Multimedia (MM), 2024
Wonwoo Cho
Kangyeol Kim
Saemee Choi
Jaegul Choo
VLM
351
1
0
15 Aug 2024
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Changdae Oh
Gyeongdeok Seo
Geunyoung Jung
Zhi-Qi Cheng
Hosik Choi
Jiyoung Jung
Kyungwoo Song
VPVLMVLM
443
3
0
04 Jul 2024
Sample-specific Masks for Visual Reprogramming-based Prompting
Sample-specific Masks for Visual Reprogramming-based Prompting
C. Cai
Zesheng Ye
Bingquan Shen
Jianzhong Qi
Feng Liu
464
14
0
05 Jun 2024
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for
  VPaaS via Watermark
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark
Huali Ren
Anli Yan
Chong-zhi Gao
Hongyang Yan
Zhenxin Zhang
Jin Li
VLMAAML
312
7
0
24 May 2024
Configurable Mirror Descent: Towards a Unification of Decision Making
Configurable Mirror Descent: Towards a Unification of Decision Making
Pengdeng Li
Shuxin Li
Chang Yang
Xinrun Wang
Shuyue Hu
Yi-Ju Chang
Hau Chan
Bo An
345
1
0
20 May 2024
Exploring the Transferability of Visual Prompting for Multimodal Large
  Language Models
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
Yichi Zhang
Yinpeng Dong
Siyuan Zhang
Tianzan Min
Hang Su
Jun Zhu
LRMVLM
339
24
0
17 Apr 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
Alireza Aghasi
Saeed Ghadimi
351
7
0
29 Mar 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation
GDA: Generalized Diffusion for Robust Test-time Adaptation
Yun-Yun Tsai
Fu-Chen Chen
Albert Y. C. Chen
Junfeng Yang
Che-Chun Su
Min Sun
Cheng-Hao Kuo
TTAAAMLVLMOOD
319
15
0
29 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data
  in Text-Image Encoders
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders
Andrew Geng
Pin-Yu Chen
OODD
327
1
0
16 Mar 2024
On the low-shot transferability of [V]-Mamba
On the low-shot transferability of [V]-Mamba
Diganta Misra
Jay Gala
Antonio Orvieto
Mamba
447
2
0
15 Mar 2024
Enhancing Joint Motion Prediction for Individuals with Limb Loss Through
  Model Reprogramming
Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming
Sharmita Dey
Sarath Ravindran Nair
200
2
0
11 Mar 2024
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Generalizing to Out-of-Sample Degradations via Model ReprogrammingIEEE Transactions on Image Processing (TIP), 2024
Runhua Jiang
Yahong Han
DiffMOODD
222
2
0
09 Mar 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM
  Fine-Tuning: A Benchmark
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Yihua Zhang
Pingzhi Li
Junyuan Hong
Jiaxiang Li
Yimeng Zhang
...
Wotao Yin
Mingyi Hong
Zinan Lin
Sijia Liu
Tianlong Chen
502
124
0
18 Feb 2024
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
296
9
0
26 Dec 2023
LaViP:Language-Grounded Visual Prompts
LaViP:Language-Grounded Visual Prompts
Nilakshan Kunananthaseelan
Jing Zhang
Mehrtash Harandi
VLM
237
1
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18 Dec 2023
Towards Robust and Accurate Visual Prompting
Towards Robust and Accurate Visual Prompting
Qi Li
Liangzhi Li
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Bowen Wang
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GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot
  Learning
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Guangyue Xu
Joyce Chai
Parisa Kordjamshidi
VLM
225
31
0
09 Nov 2023
Instruct Me More! Random Prompting for Visual In-Context Learning
Instruct Me More! Random Prompting for Visual In-Context LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Jiahao Zhang
Bowen Wang
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
199
32
0
07 Nov 2023
Exploring In-Context Learning of Textless Speech Language Model for
  Speech Classification Tasks
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification TasksInterspeech (Interspeech), 2023
Ming-Hao Hsu
Kai-Wei Chang
Shang-Wen Li
Hung-yi Lee
311
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0
19 Oct 2023
SODA: Robust Training of Test-Time Data Adaptors
SODA: Robust Training of Test-Time Data AdaptorsNeural Information Processing Systems (NeurIPS), 2023
Zige Wang
Yonggang Zhang
Zhen Fang
Long Lan
Wenjing Yang
Bo Han
295
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0
17 Oct 2023
AutoVP: An Automated Visual Prompting Framework and Benchmark
AutoVP: An Automated Visual Prompting Framework and BenchmarkInternational Conference on Learning Representations (ICLR), 2023
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Sijia Liu
Tsung-Yi Ho
VLM
322
28
0
12 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated
  Learning
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning
Wang Lu
Hao Yu
Yongfeng Zhang
Damien Teney
Haohan Wang
Yiqiang Chen
Qiang Yang
Xing Xie
Xiangyang Ji
319
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0
08 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as
  an Ally
Adversarial Machine Learning for Social Good: Reframing the Adversary as an AllyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Shawqi Al-Maliki
Adnan Qayyum
Hassan Ali
M. Abdallah
Junaid Qadir
D. Hoang
Dusit Niyato
Ala I. Al-Fuqaha
AAML
404
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0
05 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingInternational Conference on Learning Representations (ICLR), 2023
Chenyi Zi
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng Zhang
B. Kailkhura
Sijia Liu
759
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03 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream TasksInternational Conference on Learning Representations (ICLR), 2023
Hao Chen
Yongfeng Zhang
Ankit Shah
Ran Tao
Jianguo Huang
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
365
47
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Efficient Black-Box Speaker Verification Model Adaptation with
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Efficient Black-Box Speaker Verification Model Adaptation with Reprogramming and Backend LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jingyu Li
Tan Lee
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229
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Uncovering the Hidden Cost of Model Compression
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Muawiz Chaudhary
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SpeechGen: Unlocking the Generative Power of Speech Language Models with
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Haibin Wu
Kai-Wei Chang
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Hung-yi Lee
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AI Product Security: A Primer for Developers
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Towards Efficient Task-Driven Model Reprogramming with Foundation Models
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Jiangchao Yao
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Zihao Lian
Zhuliang Yu
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289
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BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
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Changdae Oh
Hyeji Hwang
Hee-young Lee
Yongtaek Lim
Geunyoung Jung
Jiyoung Jung
Hosik Choi
Kyungwoo Song
VLMVPVLM
502
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Remind of the Past: Incremental Learning with Analogical Prompts
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Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
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268
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Exploring the Benefits of Visual Prompting in Differential Privacy
Exploring the Benefits of Visual Prompting in Differential PrivacyIEEE International Conference on Computer Vision (ICCV), 2023
Yizhe Li
Yu-Lin Tsai
Xuebin Ren
Chia-Mu Yu
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AAMLVPVLM
289
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22 Mar 2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Text-Visual Prompting for Efficient 2D Temporal Video GroundingComputer Vision and Pattern Recognition (CVPR), 2023
Yimeng Zhang
Xin Chen
Jinghan Jia
Sijia Liu
Ke Ding
395
35
0
09 Mar 2023
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