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. 2310.17534
  4. Cited By
SoK: Pitfalls in Evaluating Black-Box Attacks

SoK: Pitfalls in Evaluating Black-Box Attacks

26 October 2023
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David E. Evans
    AAML
ArXivPDFHTML

Papers citing "SoK: Pitfalls in Evaluating Black-Box Attacks"

14 / 14 papers shown
Title
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
24
8
0
22 Aug 2023
Improving the Transferability of Adversarial Attacks on Face Recognition
  with Beneficial Perturbation Feature Augmentation
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation
Fengfan Zhou
H. Ling
Yuxuan Shi
Jiazhong Chen
Zongyi Li
Ping Li
AAML
42
7
0
28 Oct 2022
Bad Citrus: Reducing Adversarial Costs with Model Distances
Bad Citrus: Reducing Adversarial Costs with Model Distances
Giorgio Severi
Will Pearce
Alina Oprea
AAML
23
1
0
06 Oct 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep
  Learning Models
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Vo
Ehsan Abbasnejad
D. Ranasinghe
AAML
16
14
0
31 Jan 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
62
64
0
27 Jan 2022
Adversarial Attack via Dual-Stage Network Erosion
Adversarial Attack via Dual-Stage Network Erosion
Yexin Duan
Junhua Zou
Xingyu Zhou
Wu Zhang
Jin Zhang
Zhisong Pan
AAML
SILM
14
4
0
01 Jan 2022
Adversarial Attack across Datasets
Adversarial Attack across Datasets
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Lihong Cao
Cho-Jui Hsieh
AAML
30
3
0
13 Oct 2021
Adversarial Transfer Attacks With Unknown Data and Class Overlap
Adversarial Transfer Attacks With Unknown Data and Class Overlap
Luke E. Richards
A. Nguyen
Ryan Capps
Steven D. Forsythe
Cynthia Matuszek
Edward Raff
AAML
33
7
0
23 Sep 2021
Meta Gradient Adversarial Attack
Meta Gradient Adversarial Attack
Zheng Yuan
Jie M. Zhang
Yunpei Jia
Chuanqi Tan
Tao Xue
Shiguang Shan
AAML
47
78
0
09 Aug 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
68
192
0
31 Jan 2021
Data-Free Adversarial Perturbations for Practical Black-Box Attack
Data-Free Adversarial Perturbations for Practical Black-Box Attack
Zhaoxin Huan
Yulong Wang
Xiaolu Zhang
L. Shang
Chilin Fu
Jun Zhou
14
12
0
03 Mar 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
122
218
0
24 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
1