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FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised
  Deep Learning

FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning

8 July 2019
Berk Gülmezoglu
A. Moghimi
T. Eisenbarth
B. Sunar
    AAML
ArXivPDFHTML

Papers citing "FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning"

8 / 8 papers shown
Title
Valkyrie: A Response Framework to Augment Runtime Detection of Time-Progressive Attacks
Valkyrie: A Response Framework to Augment Runtime Detection of Time-Progressive Attacks
Nikhilesh Singh
Chester Rebeiro
41
0
0
21 Apr 2025
SMaCk: Efficient Instruction Cache Attacks via Self-Modifying Code Conflicts
SMaCk: Efficient Instruction Cache Attacks via Self-Modifying Code Conflicts
Seonghun Son
Daniel Moghimi
Berk Gulmezoglu
39
0
0
08 Feb 2025
A Tale of Unrealized Hope: Hardware Performance Counter Against Cache Attacks
William Kosasih
18
0
0
17 Nov 2023
MAD-EN: Microarchitectural Attack Detection through System-wide Energy
  Consumption
MAD-EN: Microarchitectural Attack Detection through System-wide Energy Consumption
Debopriya Roy Dipta
Berk Gülmezoglu
17
4
0
31 May 2022
Signature Correction Attack on Dilithium Signature Scheme
Signature Correction Attack on Dilithium Signature Scheme
Saad Islam
K. Mus
Richa Singh
Patrick Schaumont
B. Sunar
11
26
0
01 Mar 2022
Dynamic Process Isolation
Dynamic Process Isolation
Martin Schwarzl
Pietro Borrello
Andreas Kogler
Kenton Varda
T. Schuster
Daniel Gruss
Michael Schwarz
21
11
0
10 Oct 2021
ClepsydraCache -- Preventing Cache Attacks with Time-Based Evictions
ClepsydraCache -- Preventing Cache Attacks with Time-Based Evictions
Jan Philipp Thoma
Christian Niesler
D. Funke
G. Leander
P. Mayr
N. Pohl
Lucas Davi
Tim Güneysu
15
17
0
23 Apr 2021
Event Prediction in the Big Data Era: A Systematic Survey
Event Prediction in the Big Data Era: A Systematic Survey
Liang Zhao
AI4TS
33
53
0
19 Jul 2020
1