activity
20142026
most citedMitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques

14 citations · 61 across the 19 of their papers we have counts for

collaborators

20 papers

cs.DM2026

A note on Finiteness and Boundedness in Cartesian Products of Discrete and Well-Ordered Sets, Application to Transition Systems

Gerard Memmi

In this short note, we prove that any closed interval in a well-ordered and discrete space is finite. The coincidence between finiteness and boundedness can then be established for…

cs.FL2023

Invariants and Home Spaces in Transition Systems and Petri Nets

Gerard Memmi

This lecture note focuses on comparing the notions of invariance and home spaces in Transition Systems and more particularly, in Petri Nets. We also describe how linear algebra rel…

cs.FL2022

A Note on Generating Sets for Semiflows

Gerard Memmi

In this short note, we are interested in discussing characteristics of finite generating sets for , the set of all semiflows with non negative coefficients of a Petri…

cs.CR2020★ 4 cited

A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks

Yi Zeng, Han Qiu, Gerard Memmi +1

Deep Neural Networks (DNNs) in Computer Vision (CV) are well-known to be vulnerable to Adversarial Examples (AEs), namely imperceptible perturbations added maliciously to cause wro…

cs.CR2020★ 14 cited

Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques

Han Qiu, Yi Zeng, Qinkai Zheng +3

Deep Neural Networks (DNNs) are well-known to be vulnerable to Adversarial Examples (AEs). A large amount of efforts have been spent to launch and heat the arms race between the at…

eess.IV2020

Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques

Qinkai Zheng, Han Qiu, Gerard Memmi +1

This is the report for the PRIM project in Telecom Paris. This report is about applications based on spatial-frequency transform and deep learning techniques. In this report, there…

cs.CR2019★ 6 cited

Privacy-preserving Health Data Sharing for Medical Cyber-Physical Systems

Han Qiu, Meikang Qiu, Meiqin Liu +1

The recent spades of cyber security attacks have compromised end users' data safety and privacy in Medical Cyber-Physical Systems (MCPS). Traditional standard encryption algorithms…

cs.CR2019★ 7 cited

Asymptotic Performance Analysis of Blockchain Protocols

Antoine Durand, Elyes Ben-Hamida, David Leporini +1

In the light of the recent fame of Blockchain technologies, numerous proposals and projects aiming at better practical viability have emerged. However, formally assessing their par…

cs.NI2019★ 3 cited

Multi-hop Data Fragmentation in Unattended Wireless Sensor Networks

Keun-Woo Lim, Katarzyna Kapusta, Gerard Memmi +1

In this work, we analyze the advantages of multi-hop data fragmentation in unattended wireless sensor networks (UWSN) and propose a lightweight protocol to achieve it. UWSN has rec…

cs.CR2019★ 1 cited

Revisiting Shared Data Protection Against Key Exposure

Katarzyna Kapusta, Gerard Memmi, Matthieu Rambaud

This paper puts a new light on secure data storage inside distributed systems. Specifically, it revisits computational secret sharing in a situation where the encryption key is exp…

cs.CR2018

PE-AONT: Partial Encryption combined with an All-or-Nothing Transform

Katarzyna Kapusta, Gerard Memmi

In this report, we introduce PE-AONT: a novel algorithm for fast and secure data fragmentation. Initial data are fragmented and only a selected subset of the fragments is encrypted…

cs.AR2018

Building the Case for Temperature Awareness in Energy Consumption Models: an Application of the Energy-Frequency Convexity Rule

Kameswar Vaddina, Florian Brandner, Gerard Memmi +1

Optimizing computing and communication systems that host energy-critical applications is becoming a key issue for software developers. In previous work, we introduced and validated…

cs.CR2018★ 2 cited

A Fast Fragmentation Algorithm For Data Protection In a Multi-Cloud Environment

Katarzyna Kapusta, Gerard Memmi

Data fragmentation and dispersal over multiple clouds is a way of data protection against honest-but-curious storage or service providers. In this paper, we introduce a novel algor…

cs.CR2017★ 2 cited

Data protection by means of fragmentation in various different distributed storage systems - a survey

Katarzyna Kapusta, Gerard Memmi

This paper analyzes various distributed storage systems that use data fragmentation and dispersal as a way of protection.Existing solutions have been organized into two categories:…

cs.CR2017

An Efficient Keyless Fragmentation Algorithm for Data Protection

Katarzyna Kapusta, Gerard Memmi, Hassan Noura

The family of Information Dispersal Algorithms is applied to distributed systems for secure and reliable storage and transmission. In comparison with perfect secret sharing it achi…

cs.CR2015★ 7 cited

Data Protection: Combining Fragmentation, Encryption, and Dispersion, a final report

Gerard Memmi, Katarzyna Kapusta, Patrick Lambein +1

Hardening data protection using multiple methods rather than 'just' encryption is of paramount importance when considering continuous and powerful attacks in order to observe, stea…

cs.DC2015★ 1 cited

Parameter Sensitivity Analysis of the Energy/Frequency Convexity Rule for Nanometer-scale Application Processors

Karel De Vogeleer, Gerard Memmi, Pierre Jouvelot

Both theoretical and experimental evidence are presented in this work in order to validate the existence of an Energy/Frequency Convexity Rule, which relates energy consumption and…

cs.OH2014★ 3 cited

Theoretical Analysis of Radiative Cooling for Mobile and Embedded Systems

Karel De Vogeleer, Gerard Memmi, Pierre Jouvelot +1

A new global analytical model of the heat dissipation process that occurs in passively-cooled embedded systems is introduced, and we explicit under what circumstances the tradition…

cs.AR2014★ 5 cited

Modeling the Temperature Bias of Power Consumption for Nanometer-Scale CPUs in Application Processors

Karel De Vogeleer, Gerard Memmi, Pierre Jouvelot +1

We introduce and experimentally validate a new macro-level model of the CPU temperature/power relationship within nanometer-scale application processors or system-on-chips. By adop…

cs.OH2014★ 6 cited

The Energy/Frequency Convexity Rule: Modeling and Experimental Validation on Mobile Devices

Karel De Vogeleer, Gerard Memmi, Pierre Jouvelot +1

This paper provides both theoretical and experimental evidence for the existence of an Energy/Frequency Convexity Rule, which relates energy consumption and CPU frequency on mobile…