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Query-Efficient Black-Box Attack by Active Learning

Query-Efficient Black-Box Attack by Active Learning

13 September 2018
Pengcheng Li
Jinfeng Yi
Lijun Zhang
    AAML
    MLAU
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Papers citing "Query-Efficient Black-Box Attack by Active Learning"

7 / 7 papers shown
Title
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
AAML
44
0
0
08 Mar 2025
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
Vlad Hondru
Radu Tudor Ionescu
DiffM
32
1
0
29 Sep 2023
I Know What You Trained Last Summer: A Survey on Stealing Machine
  Learning Models and Defences
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk
Rudolf Mayer
Andreas Rauber
29
106
0
16 Jun 2022
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
71
100
0
04 Jan 2021
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Extraction of Complex DNN Models: Real Threat or Boogeyman?
B. Atli
S. Szyller
Mika Juuti
Samuel Marchal
Nadarajah Asokan
MLAU
MIACV
19
45
0
11 Oct 2019
A geometry-inspired decision-based attack
A geometry-inspired decision-based attack
Yujia Liu
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
11
51
0
26 Mar 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,833
0
08 Jul 2016
1