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20192026
most citedTHEMIS: Time, Heterogeneity, and Energy Minded Scheduling for Fair Multi-Tenant Use in FPGAs

6 citations · 19 across the 16 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

cs.AR2025

Preemption-Enhanced Benchmark Suite for FPGAs

Arsalan Ali Malik, John Buchanan, Aydin Aysu

Field-Programmable Gate Arrays (FPGAs) have become essential in cloud computing due to their reconfigurability, energy efficiency, and ability to accelerate domain-specific workloa…

cs.CR2025

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks

Ashley Kurian, Aydin Aysu

Neural networks are valuable intellectual property due to the significant computational cost, expert labor, and proprietary data involved in their development. Consequently, protec…

cs.CR2025

GATEBLEED: Exploiting On-Core Accelerator Power Gating for High Performance & Stealthy Attacks on AI

Joshua Kalyanapu, Farshad Dizani, Darsh Asher +4

As power consumption from AI training and inference continues to increase, AI accelerators are being integrated directly into the CPU. Intel's Advanced Matrix Extensions (AMX) is o…

cs.CR2025

No TPU Left Behind: Retrofitting Side-Channel Protection into Edge TPUs

Ashley Kurian, Anuj Dubey, Modini Ayyagari +1

Side-channel attacks can recover neural network parameters from physical signals, even on commercial edge accelerators. Existing defenses require changes to hardware, instruction s…

cs.CR2025

SHIFT SNARE: Uncovering Secret Keys in FALCON via Single-Trace Analysis

Jinyi Qiu, Aydin Aysu

This paper presents a novel singletrace sidechannel attack on FALCON a latticebased postquantum digital signature protocol recently approved for standardization by NIST We target t…

cs.CR2025

Hardware-Enabled Mechanisms for Verifying Responsible AI Development

Aidan O'Gara, Gabriel Kulp, Will Hodgkins +7

Advancements in AI capabilities, driven in large part by scaling up computing resources used for AI training, have created opportunities to address major global challenges but also…

cs.CR2025

Honest to a Fault: Root-Causing Fault Attacks with Pre-Silicon RISC Pipeline Characterization

Arsalan Ali Malik, Harshvadan Mihir, Aydin Aysu

Fault injection attacks represent a class of threats that can compromise embedded systems across multiple layers of abstraction, such as system software, instruction set architectu…

cs.CR2025

CRAFT: Characterizing and Root-Causing Fault Injection Threats at Pre-Silicon

Arsalan Ali Malik, Harshvadan Mihir, Aydin Aysu

Fault injection attacks (FIA) pose significant security threats to embedded systems as they exploit weaknesses across multiple layers, including system software, instruction set ar…

cs.DC2025

EPOCH: Enabling Preemption Operation for Context Saving in Heterogeneous FPGA Systems

Arsalan Ali Malik, Emre Karabulut, Aydin Aysu

FPGAs are increasingly used in multi-tenant cloud environments to offload compute-intensive tasks from the main CPU. The operating system (OS) plays a vital role in identifying tas…