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AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal
  Image Captioning

AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning

30 July 2024
Maisha Binte Rashid
Pablo Rivas
ArXivPDFHTML

Papers citing "AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning"

3 / 3 papers shown
Title
Investigating Vulnerability to Adversarial Examples on Multimodal Data
  Fusion in Deep Learning
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning
Youngjoon Yu
Hong Joo Lee
Byeong Cheon Kim
Jung Uk Kim
Yong Man Ro
AAML
68
18
0
22 May 2020
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
122
1,242
0
29 Apr 2019
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
214
8,533
0
16 Aug 2016
1