1 citations · 1 across the 6 of their papers we have counts for
6 papers
Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes
Gergely Flamich, Oykü Sıla Güner, Yanxiao Liu +1
The ever-increasing collection of personal data has created mounting pressure to develop technologies that protect sensitive aspects of individual identity. Differential privacy (D…
Adversarial Jamming for Autoencoder Distribution Matching
Waleed El-Geresy, Deniz Gündüz
We propose the use of adversarial wireless jamming to regularise the latent space of an autoencoder to match a diagonal Gaussian distribution. We consider the minimisation of a mea…
Energy-Information Trade-Off in Self-Directed Channel Memristors
Waleed El-Geresy, Dániel Hajtó, György Cserey +1
Understanding the nature of information storage on memristors is vital to enable their use in novel data storage and neuromorphic applications. One key consideration in information…
State Characterisation of Self-Directed Channel Memristive Devices
Dániel Hajtó, Waleed El-Geresy, Deniz Gündüz +1
Knowing how to reliably use memristors as information storage devices is crucial not only to their role as emerging memories, but also for their application in neural network accel…
Energy-Constrained Information Storage on Memristive Devices in the Presence of Resistive Drift
Waleed El-Geresy, Christos Papavassiliou, Deniz Gündüz
In this paper, we examine the problem of information storage on memristors affected by resistive drift noise under energy constraints. We introduce a novel, fundamental trade-off b…
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Emre Ozfatura, Kerem Ozfatura, Baturalp Buyukates +3
In federated learning (FL), profiling and verifying each client is inherently difficult, which introduces a significant security vulnerability: malicious clients, commonly referred…