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APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection

APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection

17 December 2019
A. Braunegg
Amartya Chakraborty
Michael Krumdick
Nicole Lape
Sara Leary
Keith Manville
Elizabeth M. Merkhofer
Laura Strickhart
Matthew Walmer
    AAML
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Papers citing "APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection"

12 / 12 papers shown
Title
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Roie Kazoom
Raz Lapid
Moshe Sipper
Ofer Hadar
VLM
ObjD
AAML
71
0
0
07 Apr 2025
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
Lihua Jing
Rui Wang
Wenqi Ren
Xinjie Dong
Cong Zou
AAML
29
6
0
25 Apr 2024
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
Nabeel Hingun
Chawin Sitawarin
Jerry Li
David Wagner
AAML
31
14
0
12 Dec 2022
Synthetic Dataset Generation for Adversarial Machine Learning Research
Synthetic Dataset Generation for Adversarial Machine Learning Research
Xiruo Liu
Shibani Singh
Cory Cornelius
Colin Busho
Mike Tan
Anindya Paul
Jason Martin
AAML
36
2
0
21 Jul 2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against
  Object Detection
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection
Svetlana Pavlitskaya
Bianca-Marina Codau
J. Marius Zöllner
AAML
16
11
0
15 Jul 2022
Empirical Evaluation of Physical Adversarial Patch Attacks Against
  Overhead Object Detection Models
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models
Gavin Hartnett
Li Ang Zhang
Caolionn L O'Connell
A. Lohn
Jair Aguirre
AAML
33
3
0
25 Jun 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Maura Pintor
Daniele Angioni
Angelo Sotgiu
Christian Scano
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
33
49
0
07 Mar 2022
Segment and Complete: Defending Object Detectors against Adversarial
  Patch Attacks with Robust Patch Detection
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Jiangjiang Liu
Alexander Levine
Chun Pong Lau
Ramalingam Chellappa
S. Feizi
AAML
32
77
0
08 Dec 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
38
236
0
01 Aug 2021
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
165
424
0
16 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,847
0
08 Jul 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,553
0
25 Jan 2016
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