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Robust but Relaxed Probing Model [PDF]

open access: yesTransactions on Cryptographic Hardware and Embedded Systems
Masking has become a widely applied and heavily researched method to protect cryptographic implementations against Side-Channel Analysis (SCA) attacks.
Nicolai Müller, Amir Moradi
doaj   +6 more sources

Threshold Implementations in the Robust Probing Model [PDF]

open access: yesProceedings of ACM Workshop on Theory of Implementation Security Workshop, 2019
Threshold Implementations (TI) are provably secure algorithmic countermeasures against side-channel attacks in the form of differential power analysis. The strength of TI lies in its minimal algorithmic requirements. These requirements have been studied over more than 10 years and many efficient implementations for symmetric primitives have been ...
Vincent Rijmen   +2 more
exaly   +8 more sources

Glitch-Resistant Masking Revisited [PDF]

open access: yesTransactions on Cryptographic Hardware and Embedded Systems, 2019
Implementing the masking countermeasure in hardware is a delicate task. Various solutions have been proposed for this purpose over the last years: we focus on Threshold Implementations (TIs), Domain-Oriented Masking (DOM), the Unified Masking Approach ...
Thorben Moos   +3 more
doaj   +7 more sources

diffBUM-HMM: a robust statistical modeling approach for detecting RNA flexibility changes in high-throughput structure probing data [PDF]

open access: yesGenome Biology, 2021
Advancing RNA structural probing techniques with next-generation sequencing has generated demands for complementary computational tools to robustly extract RNA structural information amidst sampling noise and variability.
Paolo Marangio   +3 more
doaj   +6 more sources

Composable Masking Schemes in the Presence of Physical Defaults & the Robust Probing Model [PDF]

open access: yesTransactions on Cryptographic Hardware and Embedded Systems, 2018
Composability and robustness against physical defaults (e.g., glitches) are two highly desirable properties for secure implementations of masking schemes.
Sebastian Faust   +4 more
doaj   +5 more sources

Provably Secure Hardware Masking in the Transition- and Glitch-Robust Probing Model: Better Safe than Sorry

open access: yesTransactions on Cryptographic Hardware and Embedded Systems, 2021
There exists many masking schemes to protect implementations of cryptographic operations against side-channel attacks. It is common practice to analyze the security of these schemes in the probing model, or its variant which takes into account physical ...
Gaëtan Cassiers   +1 more
doaj   +3 more sources

Reframing simulation as an implementation strategy: a call for conceptual integration across two scientific communities [PDF]

open access: yesImplementation Science Communications
Background Simulation is an established evidence-based tool in healthcare. It is widely used for medical education (simulation-based medical education [SBME]), quality improvement, capacity building, audit and feedback, and probing healthcare systems for
Elizabeth Sanseau   +3 more
doaj   +2 more sources

PROLEAD

open access: yesTransactions on Cryptographic Hardware and Embedded Systems, 2022
Even today, Side-Channel Analysis attacks pose a serious threat to the security of cryptographic implementations fabricated with low-power and nanoscale feature technologies.
Nicolai Müller, Amir Moradi
doaj   +3 more sources

BERT Probe: A python package for probing attention based robustness evaluation of BERT models

open access: yesSoftware Impacts, 2022
Transformer models based on attention-based architectures have been significantly successful in establishing state-of-the-art results in natural language processing (NLP). However, recent work about adversarial robustness of attention-based models show that their robustness is susceptible to adversarial inputs causing spurious outputs thereby raising ...
Shahrukh Khan   +2 more
openaire   +1 more source

Rapid detection of phase transitions from Monte Carlo samples before equilibrium

open access: yesSciPost Physics, 2022
We found that Bidirectional LSTM and Transformer can classify different phases of condensed matter models and determine the phase transition points by learning features in the Monte Carlo raw data before equilibrium.
Jiewei Ding, Ho-Kin Tang, Wing Chi Yu
doaj   +1 more source

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