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Face-Off: Adversarial Face Obfuscation

Face-Off: Adversarial Face Obfuscation

19 March 2020
Varun Chandrasekaran
Chuhan Gao
Brian Tang
Kassem Fawaz
S. Jha
Suman Banerjee
    PICV
ArXivPDFHTML

Papers citing "Face-Off: Adversarial Face Obfuscation"

11 / 11 papers shown
Title
Group-based Robustness: A General Framework for Customized Robustness in
  the Real World
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OOD
AAML
27
1
0
29 Jun 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems
FACE-AUDITOR: Data Auditing in Facial Recognition Systems
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Yang Zhang
CVBM
30
14
0
05 Apr 2023
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
20
12
0
29 Aug 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Shehzeen Samarah Hussain
Todd P. Huster
Chris Mesterharm
Paarth Neekhara
Kevin R. An
Malhar Jere
Harshvardhan Digvijay Sikka
F. Koushanfar
AAML
10
6
0
09 Jun 2022
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for
  Cognitive Radars
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
Kunal Pattanayak
Vikram Krishnamurthy
Christopher Berry
11
12
0
03 May 2022
SoK: Anti-Facial Recognition Technology
SoK: Anti-Facial Recognition Technology
Emily Wenger
Shawn Shan
Haitao Zheng
Ben Y. Zhao
PICV
32
13
0
08 Dec 2021
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
S. Jaiswal
K. Duggirala
A. Dash
Animesh Mukherjee
MLAU
AAML
30
10
0
17 Nov 2021
Addressing Privacy Threats from Machine Learning
Addressing Privacy Threats from Machine Learning
Mary Anne Smart
21
2
0
25 Oct 2021
Data Poisoning Won't Save You From Facial Recognition
Data Poisoning Won't Save You From Facial Recognition
Evani Radiya-Dixit
Sanghyun Hong
Nicholas Carlini
Florian Tramèr
AAML
PICV
15
57
0
28 Jun 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities
  in Machine Learning Systems
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
27
10
0
18 Apr 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks,
  and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
D. Song
A. Madry
Bo-wen Li
Tom Goldstein
SILM
27
270
0
18 Dec 2020
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