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Fooling Vision and Language Models Despite Localization and Attention Mechanism

25 September 2017

Papers citing "Fooling Vision and Language Models Despite Localization and Attention Mechanism"

22 / 22 papers shown

Instruct2Attack: Language-Guided Semantic Adversarial Attacks

Yuxiang Guo

223

27 Nov 2023

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and ControllabilityNeural Information Processing Systems (NeurIPS), 2023

Yongxin Chen

483

25 May 2023

Trace and Detect Adversarial Attacks on CNNs using Feature Response MapsIAPR International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), 2018

129

24 Aug 2022

Multimodal Research in Vision and Language: A Review of Current and Emerging Trends

Roger Zimmermann

277

19 Oct 2020

Appending Adversarial Frames for Universal Video AttackIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019

162

10 Dec 2019

Adversarial Learning of Deepfakes in Accounting

156

09 Oct 2019

Adversarial Sensor Attack on LiDAR-based Perception in Autonomous DrivingConference on Computer and Communications Security (CCS), 2019

Yulong Cao

Qi Alfred Chen

Z. Morley Mao

225

601

16 Jul 2019

Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet LossInternational Joint Conference on Artificial Intelligence (IJCAI), 2019

165

28 May 2019

Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction

Mario Fritz

196

27 May 2019

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks

Quanquan Gu

269

27 Nov 2018

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial AttackComputer Vision and Pattern Recognition (CVPR), 2018

Adnan Siraj Rakin

Zhezhi He

Deliang Fan

AAML

168

308

22 Nov 2018

Attack Graph Convolutional Networks by Adding Fake Nodes

344

25 Oct 2018

Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures

B. Vatashsky

S. Ullman

CoGe

142

25 Oct 2018

Query-Efficient Black-Box Attack by Active Learning

126

13 Sep 2018

Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions

Adnan Siraj Rakin

197

18 Jul 2018

Modularity Matters: Learning Invariant Relational Reasoning Tasks

124

18 Jun 2018

Adversarially Robust Generalization Requires More Data

423

838

30 Apr 2018

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

414

257

03 Mar 2018

Fooling OCR Systems with Adversarial Text Images

Congzheng Song

Vitaly Shmatikov

AAML

103

15 Feb 2018

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

Naveed Akhtar

Lin Wang

AAML

494

1,993

02 Jan 2018

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

354

326

27 Nov 2017

Adversarial Attacks Beyond the Image Space

498

159

20 Nov 2017