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. 1801.08092
  4. Cited By
Generalizable Data-free Objective for Crafting Universal Adversarial
  Perturbations

Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations

24 January 2018
Konda Reddy Mopuri
Aditya Ganeshan
R. Venkatesh Babu
    AAML
ArXivPDFHTML

Papers citing "Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations"

42 / 42 papers shown
Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
60
0
0
08 May 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee
Yeonghwan Song
Jeany Son
AAML
225
0
0
28 Feb 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Namhyuk Ahn
Kiyoon Yoo
Wonhyuk Ahn
Daesik Kim
Seung-Hun Nam
AAML
WIGM
DiffM
94
0
0
16 Dec 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
40
13
0
08 Jun 2024
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
40
16
0
01 Oct 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
L. Halmosi
Márk Jelasity
AAML
VLM
39
1
0
25 Jun 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
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
49
21
0
19 Feb 2023
Object-fabrication Targeted Attack for Object Detection
Object-fabrication Targeted Attack for Object Detection
Xuchong Zhang
Changfeng Sun
Haoliang Han
Hang Wang
Hongbin Sun
Nanning Zheng
AAML
27
0
0
13 Dec 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
39
101
0
10 Mar 2022
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
B. Ghavami
Seyd Movi
Zhenman Fang
Lesley Shannon
AAML
40
9
0
25 Dec 2021
Reversible Attack based on Local Visual Adversarial Perturbation
Reversible Attack based on Local Visual Adversarial Perturbation
Li Chen
Shaowei Zhu
Z. Yin
AAML
19
4
0
06 Oct 2021
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
Swapnil Parekh
Yaman Kumar Singla
Somesh Singh
Changyou Chen
Balaji Krishnamurthy
R. Shah
AAML
24
3
0
25 Sep 2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection
  Sensor Fusion Models
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
Wonseok Park
Nan Liu
Qi Alfred Chen
Z. Morley Mao
AAML
3DPC
31
12
0
13 Sep 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language
  Navigation
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
Bingqian Lin
Yi Zhu
Yanxin Long
Xiaodan Liang
QiXiang Ye
Liang Lin
AAML
43
16
0
23 Jul 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
49
9
0
05 Jun 2021
Real-time Detection of Practical Universal Adversarial Perturbations
Real-time Detection of Practical Universal Adversarial Perturbations
Kenneth T. Co
Luis Muñoz-González
Leslie Kanthan
Emil C. Lupu
AAML
33
6
0
16 May 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese
  Visual Tracking
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking
Zhenbang Li
Yaya Shi
Jin Gao
Shaoru Wang
Bing Li
Pengpeng Liang
Weiming Hu
AAML
39
26
0
06 May 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and
  Solutions
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Jing Wu
Mingyi Zhou
Ce Zhu
Yipeng Liu
Mehrtash Harandi
Li Li
AAML
57
10
0
22 Apr 2021
Universal Adversarial Training with Class-Wise Perturbations
Universal Adversarial Training with Class-Wise Perturbations
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
25
26
0
07 Apr 2021
On Generating Transferable Targeted Perturbations
On Generating Transferable Targeted Perturbations
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
34
72
0
26 Mar 2021
A Survey On Universal Adversarial Attack
A Survey On Universal Adversarial Attack
Chaoning Zhang
Philipp Benz
Chenguo Lin
Adil Karjauv
Jing Wu
In So Kweon
AAML
28
90
0
02 Mar 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
151
150
0
17 Feb 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial
  Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
Andreas Bär
Jonas Löhdefink
Nikhil Kapoor
Serin Varghese
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
AAML
113
33
0
11 Jan 2021
On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
46
122
0
21 Dec 2020
Transferable Universal Adversarial Perturbations Using Generative Models
Transferable Universal Adversarial Perturbations Using Generative Models
Atiyeh Hashemi
Andreas Bär
S. Mozaffari
Tim Fingscheidt
AAML
30
17
0
28 Oct 2020
Adversarially Robust Neural Architectures
Adversarially Robust Neural Architectures
Minjing Dong
Yanxi Li
Yunhe Wang
Chang Xu
AAML
OOD
47
48
0
02 Sep 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
592
0
17 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images
  and Perturbations
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations
Chaoning Zhang
Philipp Benz
Tooba Imtiaz
In-So Kweon
SSL
AAML
22
118
0
13 Jul 2020
Universal Adversarial Perturbations: A Survey
Universal Adversarial Perturbations: A Survey
Ashutosh Chaubey
Nikhil Agrawal
Kavya Barnwal
K. K. Guliani
Pramod Mehta
OOD
AAML
42
46
0
16 May 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
31
8
0
23 Apr 2020
Improved Noise and Attack Robustness for Semantic Segmentation by Using
  Multi-Task Training with Self-Supervised Depth Estimation
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation
Marvin Klingner
Andreas Bär
Tim Fingscheidt
AAML
32
40
0
23 Apr 2020
Single-step Adversarial training with Dropout Scheduling
Single-step Adversarial training with Dropout Scheduling
S. VivekB.
R. Venkatesh Babu
OOD
AAML
18
71
0
18 Apr 2020
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Zhaohui Che
Ali Borji
Guangtao Zhai
Suiyi Ling
Jing Li
P. Le Callet
AAML
FedML
22
30
0
18 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
21
104
0
13 Nov 2019
Security of Facial Forensics Models Against Adversarial Attacks
Security of Facial Forensics Models Against Adversarial Attacks
Rong Huang
Fuming Fang
H. Nguyen
Junichi Yamagishi
Isao Echizen
AAML
19
6
0
02 Nov 2019
Adversarial Attacks on Time Series
Adversarial Attacks on Time Series
Fazle Karim
Somshubra Majumdar
H. Darabi
AI4TS
23
97
0
27 Feb 2019
Defending Against Universal Perturbations With Shared Adversarial
  Training
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi
Thomas Brox
J. H. Metzen
AAML
18
60
0
10 Dec 2018
Universal Perturbation Attack Against Image Retrieval
Universal Perturbation Attack Against Image Retrieval
Jie Li
Rongrong Ji
Hong Liu
Xiaopeng Hong
Yue Gao
Q. Tian
AAML
29
98
0
03 Dec 2018
NAG: Network for Adversary Generation
NAG: Network for Adversary Generation
Konda Reddy Mopuri
Utkarsh Ojha
Utsav Garg
R. Venkatesh Babu
AAML
27
144
0
09 Dec 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
300
3,115
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
332
5,849
0
08 Jul 2016
1