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AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing
  Flows

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

15 July 2020
H. M. Dolatabadi
S. Erfani
C. Leckie
    AAML
ArXivPDFHTML

Papers citing "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows"

11 / 11 papers shown
Title
Cross-Modal Consistency Learning for Sign Language Recognition
Cross-Modal Consistency Learning for Sign Language Recognition
Kepeng Wu
Zecheng Li
Weichao Zhao
Hezhen Hu
Wengang Zhou
SLR
42
0
0
16 Mar 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
28
0
0
31 Dec 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
63
2
0
29 Sep 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited
  Black-box Scenario
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
Renyang Liu
Kwok-Yan Lam
Wei Zhou
Sixing Wu
Jun Zhao
Dongting Hu
Mingming Gong
AAML
24
0
0
30 Mar 2024
DTA: Distribution Transform-based Attack for Query-Limited Scenario
DTA: Distribution Transform-based Attack for Query-Limited Scenario
Renyang Liu
Wei Zhou
Xin Jin
Song Gao
Yuanyu Wang
Ruxin Wang
16
0
0
12 Dec 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
44
21
0
19 Feb 2023
Generalizable Black-Box Adversarial Attack with Meta Learning
Generalizable Black-Box Adversarial Attack with Meta Learning
Fei Yin
Yong Zhang
Baoyuan Wu
Yan Feng
Jingyi Zhang
Yanbo Fan
Yujiu Yang
AAML
14
27
0
01 Jan 2023
On the Role of Generalization in Transferability of Adversarial Examples
On the Role of Generalization in Transferability of Adversarial Examples
Yilin Wang
Farzan Farnia
AAML
24
10
0
18 Jun 2022
Attacking deep networks with surrogate-based adversarial black-box
  methods is easy
Attacking deep networks with surrogate-based adversarial black-box methods is easy
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAML
MLAU
11
24
0
16 Mar 2022
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 Saeed Mian
Navid Kardan
M. Shah
AAML
22
235
0
01 Aug 2021
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
174
302
0
21 May 2018
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