no code implementations • 3 May 2024 • Yaoyiran Li, Xiang Zhai, Moustafa Alzantot, Keyi Yu, Ivan Vulić, Anna Korhonen, Mohamed Hammad
Building upon the success of Large Language Models (LLMs) in a variety of tasks, researchers have recently explored using LLMs that are pretrained on vast corpora of text for sequential recommendation.
no code implementations • 25 Apr 2022 • Moustafa Alzantot, Luis Garcia, Mani Srivastava
Generative models such as the variational autoencoder (VAE) and the generative adversarial networks (GAN) have proven to be incredibly powerful for the generation of synthetic data that preserves statistical properties and utility of real-world datasets, especially in the context of image and natural language text.
no code implementations • 20 May 2021 • Sukhdeep S. Sodhi, Ellie Ka-In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra
As more and more online search queries come from voice, automatic speech recognition becomes a key component to deliver relevant search results.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 18 Nov 2019 • Xijie Huang, Moustafa Alzantot, Mani Srivastava
NeuronInspect first identifies the existence of backdoor attack targets by generating the explanation heatmap of the output layer.
no code implementations • 5 Aug 2019 • Moustafa Alzantot, Amy Widdicombe, Simon Julier, Mani Srivastava
When applied to image classification models, NeuroMask identifies the image parts that are most important to classifier results by applying a mask that hides/reveals different parts of the image, before feeding it back into the model.
1 code implementation • 30 Jun 2019 • Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava
Additionally, replay attacks where the attacker uses a speaker to replay a previously recorded genuine human speech are also possible.
1 code implementation • 29 Sep 2018 • Yash Sharma, Tien-Dung Le, Moustafa Alzantot
Our team participated in the CAAD 2018 competition, and won 1st place in both attack subtracks, non-targeted and targeted adversarial attacks, and 3rd place in defense.
3 code implementations • 28 May 2018 • Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, huan zhang, Cho-Jui Hsieh, Mani Srivastava
Our experiments on different datasets (MNIST, CIFAR-10, and ImageNet) show that GenAttack can successfully generate visually imperceptible adversarial examples against state-of-the-art image recognition models with orders of magnitude fewer queries than previous approaches.
5 code implementations • EMNLP 2018 • Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang
Deep neural networks (DNNs) are vulnerable to adversarial examples, perturbations to correctly classified examples which can cause the model to misclassify.
1 code implementation • 2 Jan 2018 • Moustafa Alzantot, Bharathan Balaji, Mani Srivastava
Speech is a common and effective way of communication between humans, and modern consumer devices such as smartphones and home hubs are equipped with deep learning based accurate automatic speech recognition to enable natural interaction between humans and machines.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 31 Jan 2017 • Moustafa Alzantot, Supriyo Chakraborty, Mani B. Srivastava
second, we use another LSTM network based discriminator model for distinguishing between the true and the synthesized data.