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Adversarial Reprogramming of Neural Networks

Adversarial Reprogramming of Neural Networks

28 June 2018
Gamaleldin F. Elsayed
Ian Goodfellow
Jascha Narain Sohl-Dickstein
    OOD
    AAML
ArXivPDFHTML

Papers citing "Adversarial Reprogramming of Neural Networks"

40 / 40 papers shown
Title
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Hong Liu
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
104
0
0
25 Apr 2025
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency Adaptation
Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency Adaptation
Xiaoxing Hu
Ziyang Gong
Yansen Wang
Yuru Jia
Gen Luo
Xue Yang
178
0
0
08 Apr 2025
Shared Global and Local Geometry of Language Model Embeddings
Shared Global and Local Geometry of Language Model Embeddings
Andrew Lee
Melanie Weber
F. Viégas
Martin Wattenberg
FedML
79
3
0
27 Mar 2025
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg
Ran Darshan
98
0
0
10 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
AAML
MU
95
0
0
21 Dec 2024
Self-Masking Networks for Unsupervised Adaptation
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam
Mathilde Caron
Yuki M. Asano
54
1
0
11 Sep 2024
ADAPT to Robustify Prompt Tuning Vision Transformers
ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar
Tooba Imtiaz
Zifeng Wang
Jennifer Dy
VPVLM
VLM
AAML
38
0
0
19 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
19
0
0
16 Mar 2024
LaViP:Language-Grounded Visual Prompts
LaViP:Language-Grounded Visual Prompts
Nilakshan Kunananthaseelan
Jing Zhang
Mehrtash Harandi
VLM
25
0
0
18 Dec 2023
A2XP: Towards Private Domain Generalization
A2XP: Towards Private Domain Generalization
Geunhyeok Yu
Hyoseok Hwang
42
0
0
17 Nov 2023
Uncovering the Hidden Cost of Model Compression
Uncovering the Hidden Cost of Model Compression
Diganta Misra
Muawiz Chaudhary
Agam Goyal
Bharat Runwal
Pin-Yu Chen
VLM
38
0
0
29 Aug 2023
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
28
11
0
21 Jun 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge
Yuecheng Li
Di Wu
Ao Xu
Adam M. Jones
...
Gozde Sahin
Shuo Ni
Kiran Lekkala
Sumedh Anand Sontakke
Laurent Itti
CLL
24
10
0
24 May 2023
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation
Lijie Yang
Chao-Han Huck Yang
Jen-Tzung Chien
22
11
0
18 May 2023
Convolutional Visual Prompt for Robust Visual Perception
Convolutional Visual Prompt for Robust Visual Perception
Yun-Yun Tsai
Chengzhi Mao
Junfeng Yang
VLM
VPVLM
36
13
0
01 Mar 2023
Scalable Weight Reparametrization for Efficient Transfer Learning
Scalable Weight Reparametrization for Efficient Transfer Learning
Byeonggeun Kim
Juntae Lee
Seunghan Yang
Simyung Chang
OffRL
16
0
0
26 Feb 2023
Unleashing the Power of Visual Prompting At the Pixel Level
Unleashing the Power of Visual Prompting At the Pixel Level
Junyang Wu
Xianhang Li
Chen Wei
Huiyu Wang
Alan Yuille
Yuyin Zhou
Cihang Xie
VPVLM
VLM
31
31
0
20 Dec 2022
Understanding and Improving Visual Prompting: A Label-Mapping
  Perspective
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Aochuan Chen
Yuguang Yao
Pin-Yu Chen
Yihua Zhang
Sijia Liu
VPVLM
VLM
43
75
0
21 Nov 2022
Music Instrument Classification Reprogrammed
Music Instrument Classification Reprogrammed
Hsin-Hung Chen
Alexander Lerch
24
4
0
15 Nov 2022
Low-Resource Music Genre Classification with Cross-Modal Neural Model
  Reprogramming
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming
Yun-Ning Hung
Chao-Han Huck Yang
Pin-Yu Chen
Alexander Lerch
27
17
0
02 Nov 2022
Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial Robustness
Aochuan Chen
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
40
32
0
12 Oct 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
83
38
0
21 Sep 2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for
  ConvNets
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
Hao Chen
R. Tao
Han Zhang
Yidong Wang
Xiang Li
Weirong Ye
Jindong Wang
Guosheng Hu
Marios Savvides
VPVLM
32
53
0
15 Aug 2022
Adversarial Reprogramming Revisited
Adversarial Reprogramming Revisited
Matthias Englert
R. Lazic
AAML
29
9
0
07 Jun 2022
Exploring Visual Prompts for Adapting Large-Scale Models
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng
Ali Jahanian
S. Sankaranarayanan
Phillip Isola
VLM
VPVLM
LRM
25
256
0
31 Mar 2022
SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken
  Language Model for Speech Processing Tasks
SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks
Kai-Wei Chang
Wei-Cheng Tseng
Shang-Wen Li
Hung-yi Lee
30
22
0
31 Mar 2022
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer
  Learning Model
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model
Beatrice Nobile
G. Santin
Bruno Lepri
P. Brutti
SyDa
16
1
0
11 Mar 2022
Get a Model! Model Hijacking Attack Against Machine Learning Models
Get a Model! Model Hijacking Attack Against Machine Learning Models
A. Salem
Michael Backes
Yang Zhang
AAML
25
28
0
08 Nov 2021
Neural Model Reprogramming with Similarity Based Mapping for
  Low-Resource Spoken Command Recognition
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition
Hao Yen
Pin-Jui Ku
Chao-Han Huck Yang
Hu Hu
Sabato Marco Siniscalchi
Pin-Yu Chen
Yu Tsao
40
4
0
08 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
36
236
0
01 Aug 2021
Voice2Series: Reprogramming Acoustic Models for Time Series
  Classification
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang
Yun-Yun Tsai
Pin-Yu Chen
AI4TS
29
122
0
17 Jun 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
342
0
01 Jan 2021
Reprogramming Language Models for Molecular Representation Learning
Reprogramming Language Models for Molecular Representation Learning
R. Vinod
Pin-Yu Chen
Payel Das
AAML
OOD
40
14
0
07 Dec 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
46
298
0
08 May 2020
Adversarial Machine Learning -- Industry Perspectives
Adversarial Machine Learning -- Industry Perspectives
Ramnath Kumar
Magnus Nyström
J. Lambert
Andrew Marshall
Mario Goertzel
Andi Comissoneru
Matt Swann
Sharon Xia
AAML
SILM
29
232
0
04 Feb 2020
Protecting Neural Networks with Hierarchical Random Switching: Towards
  Better Robustness-Accuracy Trade-off for Stochastic Defenses
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Tianlin Li
Siyue Wang
Pin-Yu Chen
Yanzhi Wang
Brian Kulis
Xue Lin
S. Chin
AAML
16
42
0
20 Aug 2019
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
29
19
0
15 Aug 2019
Adversarial Reprogramming of Text Classification Neural Networks
Adversarial Reprogramming of Text Classification Neural Networks
Paarth Neekhara
Shehzeen Samarah Hussain
Shlomo Dubnov
F. Koushanfar
AAML
SILM
29
9
0
06 Sep 2018
Hardening Quantum Machine Learning Against Adversaries
Hardening Quantum Machine Learning Against Adversaries
N. Wiebe
Ramnath Kumar
AAML
25
20
0
17 Nov 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,113
0
04 Nov 2016
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