Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning

6 December 2017

Papers citing "Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning"

10 / 10 papers shown

Title
Consensus Graph Representation Learning for Better Grounded Image Captioning Wenqiao Zhang Haochen Shi Siliang Tang Jun Xiao Qiang Yu Yueting Zhuang 15 53 0 02 Dec 2021
DSRNA: Differentiable Search of Robust Neural Architectures Ramtin Hosseini Xingyi Yang P. Xie OOD AAML 18 50 0 11 Dec 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 24 487 0 11 Jun 2020
MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC) C. Sur 23 16 0 15 Feb 2020
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness Adnan Siraj Rakin Zhezhi He Li Yang Yanzhi Wang Liqiang Wang Deliang Fan AAML 32 21 0 30 May 2019
Negative Training for Neural Dialogue Response Generation Tianxing He James R. Glass 14 59 0 06 Mar 2019
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 25 78 0 25 Oct 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 11 54 0 13 Sep 2018
Detecting egregious responses in neural sequence-to-sequence models Tianxing He James R. Glass AAML 13 22 0 11 Sep 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,109 0 04 Nov 2016