Search Results for author: Modar Alfadly

Found 10 papers, 2 papers with code

Network Moments: Extensions and Sparse-Smooth Attacks

no code implementations21 Jun 2020 Modar Alfadly, Adel Bibi, Emilio Botero, Salman AlSubaihi, Bernard Ghanem

This has incited research on the reaction of DNNs to noisy input, namely developing adversarial input attacks and strategies that lead to robust DNNs to these attacks.

Analytical Moment Regularizer for Training Robust Networks

no code implementations ICLR 2020 Modar Alfadly, Adel Bibi, Muhammed Kocabas, Bernard Ghanem

In this work, we propose a new training regularizer that aims to minimize the probabilistic expected training loss of a DNN subject to a generic Gaussian input.

Data Augmentation

Assessing the Robustness of Visual Question Answering

no code implementations30 Nov 2019 Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring

In this work, we propose a new method that uses semantically related questions, dubbed basic questions, acting as noise to evaluate the robustness of VQA models.

Question Answering Visual Question Answering

Expected Tight Bounds for Robust Deep Neural Network Training

no code implementations25 Sep 2019 Salman AlSubaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem

al. that bounded input intervals can be inexpensively propagated from layer to layer through deep networks.

Expected Tight Bounds for Robust Training

2 code implementations28 May 2019 Salman Al-Subaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem

In this paper, we closely examine the bounds of a block of layers composed in the form of Affine-ReLU-Affine.

Analytical Moment Regularizer for Gaussian Robust Networks

1 code implementation24 Apr 2019 Modar Alfadly, Adel Bibi, Bernard Ghanem

Despite the impressive performance of deep neural networks (DNNs) on numerous vision tasks, they still exhibit yet-to-understand uncouth behaviours.

Data Augmentation

Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input

no code implementations CVPR 2018 Adel Bibi, Modar Alfadly, Bernard Ghanem

Moreover, we show how these expressions can be used to systematically construct targeted and non-targeted adversarial attacks.

Image Classification

A Novel Framework for Robustness Analysis of Visual QA Models

no code implementations16 Nov 2017 Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem

In VQA, adversarial attacks can target the image and/or the proposed main question and yet there is a lack of proper analysis of the later.

Question Answering Visual Question Answering

VQABQ: Visual Question Answering by Basic Questions

no code implementations19 Mar 2017 Jia-Hong Huang, Modar Alfadly, Bernard Ghanem

Given a natural language question about an image, the first module takes the question as input and then outputs the basic questions of the main given question.

Question Answering Visual Question Answering

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