Understanding and Measuring Robustness of Multimodal Learning

Understanding and Measuring Robustness of Multimodal Learning

22 December 2021

Nishant Vishwamitra

Hongxin Hu

Papers citing "Understanding and Measuring Robustness of Multimodal Learning"

7 / 7 papers shown

Title
From Texts to Shields: Convergence of Large Language Models and Cybersecurity Tao Li Ya-Ting Yang Yunian Pan Quanyan Zhu 34 0 0 01 May 2025
HateProof: Are Hateful Meme Detection Systems really Robust? Piush Aggarwal Pranit Chawla Mithun Das Punyajoy Saha Binny Mathew Torsten Zesch Animesh Mukherjee AAML 29 8 0 11 Feb 2023
Supervised Multimodal Bitransformers for Classifying Images and Text Douwe Kiela Suvrat Bhooshan Hamed Firooz Ethan Perez Davide Testuggine 59 241 0 06 Sep 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 190 711 0 17 Apr 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016