Deep Neural Rejection against Adversarial Examples

Deep Neural Rejection against Adversarial Examples

1 October 2019

Ambra Demontis

Battista Biggio

Fabio Roli

Papers citing "Deep Neural Rejection against Adversarial Examples"

8 / 8 papers shown

Title
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang Yiming Li Hammond Pearce Ruoxi Sun Bo-wen Li Minhui Xue 38 0 0 28 Apr 2025
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG Roie Kazoom Raz Lapid Moshe Sipper Ofer Hadar VLM ObjD AAML 69 0 0 07 Apr 2025
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures Xinheng Xie Kureha Yamaguchi Margaux Leblanc Simon Malzard Varun Chhabra Victoria Nockles Yue-bo Wu AAML 37 0 0 08 Sep 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models Zhengyuan Wei Haipeng Wang Qili Zhou William Chan 34 0 0 19 Jul 2024
Manipulating hidden-Markov-model inferences by corrupting batch data William N. Caballero Jose Manuel Camacho Tahir Ekin Roi Naveiro AAML 20 1 0 19 Feb 2024
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense Shahrukh Khan Mahnoor Shahid Navdeeppal Singh AAML 33 2 0 11 Feb 2022
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack Gilad Gressel Niranjan Hegde A. Sreekumar Rishikumar Radhakrishnan Kalyani Harikumar Michael C. Darling Krishnashree Achuthan AAML 67 16 0 28 Jun 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 26 13 0 28 Jan 2021