Verifying the Robustness of Automatic Credibility Assessment

14 March 2023

Papers citing "Verifying the Robustness of Automatic Credibility Assessment"

7 / 7 papers shown

Title
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice Mohit Singhal Chen Ling Pujan Paudel Poojitha Thota Nihal Kumarswamy Gianluca Stringhini Shirin Nilizadeh 80 30 0 29 Jun 2022
How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks? Camille Koenders Johannes Filla Nicolai Schneider Vinicius Woloszyn GNN 75 15 0 16 Jul 2021
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 108 1,064 0 27 Jul 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 357 921 0 21 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 309 715 0 17 Apr 2018
A Stylometric Inquiry into Hyperpartisan and Fake News Martin Potthast Johannes Kiesel K. Reinartz Janek Bevendorff Benno Stein 55 614 0 18 Feb 2017
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 164 14,831 1 21 Dec 2013