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A curated list of awesome adversarial reprogramming and input prompting methods for neural networks since 2022

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A curated list of awesome adversarial reprogramming and input prompting methods for neural networks since 2022.

News - Dr. Pin-Yu Chen and Huck will give a tutortial on adversarial reprogramming at ICASSP 2022.Video

How toempower frozen large-scale pre-trained models with reprogramming and prompting toward different applications is the next big challenge of Deep Learning. Welcome to commit and pull request!

Neural Adapters in Decoder, Encoder, and Inputs

TitleAuthorsCodeYear
Differentially Private Adapters for Parameter Efficient Acoustic ModelingC.-W. Ho et al.codeInterspeech 2023
Parameter-Efficient Learning for Text-to-Speech Accent AdaptationL.-J. Yang et al.codeInterspeech 2023
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech ModelS. Radhakrishnan et al.codeInterspeech 2023

Neural Reprogramming or Adversarial Reprogramming or Offsite-Tuning

TitleAuthorsCodeYear
Reprogramming Self-supervised Learning-based Speech Representations for Speaker AnonymizationX. Chen et al.-ACM MM Asia 2023
Offsite-Tuning: Transfer Learning without Full ModelG. Xiao et al.codearxiv 2023
Music Instrument Classification ReprogrammedH.-H. Chen et al.-MMM 2023
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech RecognitionCHH Yang et al.-ICASSP 2023
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model ReprogrammingHuzaifa Arif et al.codeSaTML 2023
Fairness ReprogrammingG. Zhang et al.codeNeurIPS 2022
Low-Resource Music Genre Classification with Advanced Neural Model ReprogrammingY.-N. Hung et al.codeICASSP 2023
Reprogramming Large Pretrained Language Models for Antibody Sequence InfillingI. Melnyk et al.-Arxiv 2022
Adversarial Reprogramming RevisitedM. Englert et al.-NeurIPS 2022
Reprogramming Large Pretrained Language Models for Antibody Sequence InfillingI. Melnyk et al.-Arxiv 2022
Rep-Net: Efficient On-Device Learning via Feature ReprogrammingL. Yang et al.codeCVPR 2022
Improved Input Reprogramming for GAN ConditioningT. Dinh et al.-Arxiv 2022
Cross-modal Adversarial ReprogrammingP. Neekhara et al.codeWACV 2022
A Study of Low-Resource Speech Commands Recognition based on Adversarial ReprogrammingH Yen et al.codeInterspeech 23
WARP: Word-level Adversarial ReProgrammingK. Hambardzumyan et al.codeACL 2021
Voice2series: Reprogramming acoustic models for time series classificationCHH Yang, et al.codeICML 2021
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resourcesY Tsai et al.codeICML 2020
Reprogramming GANs via Input Noise DesignK Lee et al.-ECML 2019
Adversarial Reprogramming of Text Classification Neural NetworksP. Neekhara et al.codeEMNLP 2019
Adversarial reprogramming of neural networksF. Elsayed et al.codeICLR 2019

Input-Level Neural Model Prompting for Vision and Speech

TitleAuthorsCodeYear
SPEECHPROMPT V2: PROMPT TUNING FOR SPEECH CLASSIFICATION TASKSK.-W. Chang et al.codeArxiv 2023
Understanding and Improving Visual Prompting: A Label-Mapping PerspectiveA. Chen et al.-Arxiv 2022
AudioLM: a Language Modeling Approach to Audio GenerationZ. Borsos et al.-Arxiv 2022
WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language ModelsH. Gao et al.-Arxiv 2022
An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing TasksK.-W. Chang et al.codeInterspeech 2022
Visual Prompting: Modifying Pixel Space to Adapt Pre-trained ModelsH. Bahng et al.-Arxiv 2022

Theory

TitleAuthorsCodeYear
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-DistributionA. Kumar et al.-ICLR 2022

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