60 citations · 138 across the 21 of their papers we have counts for
26 papers
Developing a Transferable Federated Network Intrusion Detection System
Abu Shafin Mohammad Mahdee Jameel, Shreya Ghosh, Aly El Gamal
Intrusion Detection Systems (IDS) are a vital part of a network-connected device. In this paper, we develop a deep learning based intrusion detection system that is deployed in a d…
Deep OFDM Channel Estimation: Capturing Frequency Recurrence
Abu Shafin Mohammad Mahdee Jameel, Akshay Malhotra, Aly El Gamal +1
In this paper, we propose a deep-learning-based channel estimation scheme in an orthogonal frequency division multiplexing (OFDM) system. Our proposed method, named Single Slot Rec…
Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal
Network Intrusion Detection Systems (IDS) aim to detect the presence of an intruder by analyzing network packets arriving at an internet connected device. Data-driven deep learning…
Data-Driven Subsampling in the Presence of an Adversarial Actor
Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Jinho Yi +2
Deep learning based automatic modulation classification (AMC) has received significant attention owing to its potential applications in both military and civilian use cases. Recent…
A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems
Teng-Hui Huang, Aly El Gamal, Hesham El Gamal
In this work, we propose solving the Information bottleneck (IB) and Privacy Funnel (PF) problems with Douglas-Rachford Splitting methods (DRS). We study a general Markovian inform…
On the Multi-View Information Bottleneck Representation
Teng-Hui Huang, Aly El Gamal, Hesham El Gamal
In this work, we generalize the information bottleneck (IB) approach to the multi-view learning context. The exponentially growing complexity of the optimal representation motivate…
Knowledge Distillation For Wireless Edge Learning
Ahmed P. Mohamed, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal
In this paper, we propose a framework for predicting frame errors in the collaborative spectrally congested wireless environments of the DARPA Spectrum Collaboration Challenge (SC2…
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
Rehana Mahfuz, Rajeev Sahay, Aly El Gamal
Gradient-based adversarial attacks on deep neural networks pose a serious threat, since they can be deployed by adding imperceptible perturbations to the test data of any network,…
Data-driven Analysis of Turbulent Flame Images
Rathziel Roncancio, Jupyoung Kim, Aly El Gamal +1
Turbulent premixed flames are important for power generation using gas turbines. Improvements in characterization and understanding of turbulent flames continue particularly for tr…
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks
Kirthi Shankar Sivamani, Rajeev Sahay, Aly El Gamal
Recent studies have shown that deep learning models are vulnerable to specifically crafted adversarial inputs that are quasi-imperceptible to humans. In this letter, we propose a n…
Optimal Wireless Caching with Placement Cost
Yousef AlHassoun, Faisal Alotaibi, Aly El Gamal +1
Coded caching has been shown to result in significant throughput gains, but its gains were proved only by assuming a placement phase with no transmission cost. A free placement pha…
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks
Rajeev Sahay, Rehana Mahfuz, Aly El Gamal
The reliance on deep learning algorithms has grown significantly in recent years. Yet, these models are highly vulnerable to adversarial attacks, which introduce visually impercept…
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach
Rajeev Sahay, Rehana Mahfuz, Aly El Gamal
Machine Learning models are vulnerable to adversarial attacks that rely on perturbing the input data. This work proposes a novel strategy using Autoencoder Deep Neural Networks to…
Fundamental Limits of Dynamic Interference Management with Flexible Message Assignments
Tolunay Seyfi, Yasemin Karacora, Aly El Gamal
The problem of interference management is considered in the context of a linear interference network that is subject to long term channel fluctuations due to shadow fading. The fad…
A Sampling Theory Perspective of Graph-based Semi-supervised Learning
Aamir Anis, Aly El Gamal, Salman Avestimehr +1
Graph-based methods have been quite successful in solving unsupervised and semi-supervised learning problems, as they provide a means to capture the underlying geometry of the data…
The Role of Transmitter Cooperation in Linear Interference Networks with Block Erasures
Yasemin Karacora, Tolunay Seyfi, Aly El Gamal
In this work, we explore the potential and optimal use of transmitter cooperation in wireless interference networks with deep fading conditions. We consider a linear interference n…
Joint Uplink-Downlink Cell Associations for Interference Networks with Local Connectivity
Manik Singhal, Aly El Gamal
We study information theoretic models of interference networks that consist of K Base Station (BS) - Mobile Terminal (MT) pairs. Each BS is connected to the MT carrying the same in…
Topological Interference Management: Linear Cooperation is not useful for Wyner's Networks
Aly El Gamal
In this work, we study the value of cooperative transmission in wireless networks if no channel state information is available at the transmitters (no CSIT). Our focus is on large…
Degrees of Freedom in Wireless Interference Networks with Cooperative Transmission and Backhaul Load Constraints
Meghana Bande, Aly El Gamal, Venugopal V. Veeravalli
Degrees of freedom (DoF) gains are studied in wireless networks with cooperative transmission under a backhaul load constraint that limits the average number of messages that can b…
Flexible Backhaul Design and Degrees of Freedom for Linear Interference Networks
Aly El Gamal, Venugopal V. Veeravalli
The considered problem is that of maximizing the degrees of freedom (DoF) in cellular downlink, under a backhaul load constraint that limits the number of messages that can be deli…
Dynamic Interference Management
Aly El Gamal, Venugopal V. Veeravalli
A linear interference network is considered. Long-term fluctuations (shadow fading) in the wireless channel can lead to any link being erased with probability p. Each receiver is i…
Interference Channels with Coordinated Multi-Point Transmission: Degrees of Freedom, Message Assignment, and Fractional Reuse
Aly El Gamal, V. Sreekanth Annapureddy, Venugopal V. Veeravalli
Coordinated Multi-Point (CoMP) transmission is an infrastructural enhancement under consideration for next generation wireless networks. In this work, the capacity gain achieved th…
On Optimal Message Assignments for Interference Channels with CoMP Transmission
Aly El Gamal, V. Sreekanth Annapureddy, Venugopal V. Veeravalli
The degrees of freedom (DoF) number of the fully connected K-user Gaussian interference channel is known to be K/2. In [1], the DoF for the same channel model was studied while all…
Degrees of Freedom of Interference Channels with CoMP Transmission and Reception
V. Sreekanth Annapureddy, Aly El Gamal, Venugopal V. Veeravalli
We study the Degrees of Freedom (DoF) of the K-user interference channel with coordinated multi-point (CoMP) transmission and reception. Each message is jointly transmitted by M_t…