Ahmed Salem | DeepAI

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∙ 06/23/2023

Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models

Natural language processing (NLP) models have become increasingly popula...

0 Adel Elmahdy, et al. ∙

∙ 02/01/2023

Analyzing Leakage of Personally Identifiable Information in Language Models

Language Models (LMs) have been shown to leak information about training...

0 Nils Lukas, et al. ∙

∙ 06/10/2022

Bayesian Estimation of Differential Privacy

Algorithms such as Differentially Private SGD enable training machine le...

0 Santiago Zanella-Béguelin, et al. ∙

∙ 02/04/2021

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Inference attacks against Machine Learning (ML) models allow adversaries...

0 Yugeng Liu, et al. ∙

∙ 10/07/2020

Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks

Backdoor attack against deep neural networks is currently being profound...

6 Ahmed Salem, et al. ∙

∙ 10/06/2020

BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models

The tremendous progress of autoencoders and generative adversarial netwo...

14 Ahmed Salem, et al. ∙

∙ 06/01/2020

BadNL: Backdoor Attacks Against NLP Models

Machine learning (ML) has progressed rapidly during the past decade and ...

0 Xiaoyi Chen, et al. ∙

∙ 03/07/2020

Dynamic Backdoor Attacks Against Machine Learning Models

Machine learning (ML) has made tremendous progress during the past decad...

50 Ahmed Salem, et al. ∙

∙ 09/23/2019

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

In a membership inference attack, an attacker aims to infer whether a da...

0 Jinyuan Jia, et al. ∙

∙ 04/01/2019

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Machine learning (ML) has progressed rapidly during the past decade and ...

0 Ahmed Salem, et al. ∙

∙ 08/01/2018

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

With the widespread use of machine learning (ML) techniques, ML as a ser...

0 Lucjan Hanzlik, et al. ∙

∙ 06/04/2018

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Machine learning (ML) has become a core component of many real-world app...

2 Ahmed Salem, et al. ∙

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