7 citations · 11 across the 8 of their papers we have counts for
8 papers
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models
Tochukwu Idika, Ismail Akturk
Transferability of adversarial samples became a serious concern due to their impact on the reliability of machine learning system deployments, as they find their way into many crit…
Holistic Hardware Security Assessment Framework: A Microarchitectural Perspective
Tochukwu Idika, Ismail Akturk
Our goal is to enable holistic hardware security evaluation from the microarchitectural point of view. To achieve this, we propose a framework that categorizes threat models based…
On Value Recomputation to Accelerate Invisible Speculation
Christos Sakalis, Zamshed I. Chowdhury, Shayne Wadle +5
Recent architectural approaches that address speculative side-channel attacks aim to prevent software from exposing the microarchitectural state changes of transient execution. The…
Temporal-Rate Encoding to Realize Unary Positional Representation in Spiking Neural Systems
Zhenduo Zhai, Ismail Akturk
Unary representation is straightforward, error tolerant and requires simple logic while its latency is a concern. On the other hand, positional representation (like binary) is comp…
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks
Pooneh Safayenikoo, Ismail Akturk
Artificial Neural Networks (ANNs) are known as state-of-the-art techniques in Machine Learning (ML) and have achieved outstanding results in data-intensive applications, such as re…
Recomputation Enabled Efficient Checkpointing
Ismail Akturk, Ulya R. Karpuzcu
Systematic checkpointing of the machine state makes restart of execution from a safe state possible upon detection of an error. The time and energy overhead of checkpointing, howev…
Trading Computation for Communication: A Taxonomy
Ismail Akturk, Ulya R. Karpuzcu
A critical challenge for modern system design is meeting the overwhelming performance, storage, and communication bandwidth demand of emerging applications within a tightly bound p…
On Dynamic Precision Scaling
Serif Yesil, Ismail Akturk, Ulya R. Karpuzcu
Based on the observation that application phases exhibit varying degrees of sensitivity to noise (i.e., accuracy loss) in computation during execution, this paper explores how Dyna…