61 résultats
-
Search-Based Local Black-Box Deobfuscation: Understand, Improve and Mitigate
Orateur : Grégoire Menguy (CEA LIST)
Code obfuscation aims at protecting Intellectual Property and other secrets embedded into software from being retrieved. Recent works leverage advances in artificial intelligence (AI) with the hope of getting blackbox deobfuscators completely immune to standard (whitebox) protection mechanisms. While promising, this new field of AI-based, and more specifically search-based blackbox deobfuscation,[…] -
Model Stealing Attacks Against Inductive Graph Neural Networks
Orateur : Yufei Han (INRIA)
Many real-world data come in the form of graphs. Graph neural networks (GNNs), a new family of machine learning (ML) models, have been proposed to fully leverage graph data to build powerful applications. In particular, the inductive GNNs, which can generalize to unseen data, become mainstream in this direction. Machine learning models have shown great potential in various tasks and have been[…] -
Security and privacy in personal data management systems
Orateur : Nicolas Anciaux (INRIA)
Personal Data Management Systems (called PDMS) provide individuals with a hardware and/or software solution to manage their data under control. From a data management and security/privacy perspective, the issues involved are complex and differ significantly from the traditional database setting. The emergence of trusted execution environments (such as Intel SGX) could be a game changer. This[…] -
Browser fingerprinting: past, present and possible future
Orateur : Pierre Laperdrix (CRIStAL)
Browser fingerprinting has grown a lot since its debut in 2010. By collecting specific information in the browser, one can learn a lot about a device and its configuration. It has been shown in previous studies that it can even be used to track users online, bypassing current tracking methods like cookies. In this presentation, we will look at how this technique works and present an overview of[…] -
Ransomware Detection Using Markov Chain Models Over File Headers
Orateur : David Lubicz (DGA-MI)
In this paper, a new approach for the detection of ransomware based on the runtime analysis of their behaviour is presented. The main idea is to get samples by using a mini-filter to intercept write requests, then decide if a sample corresponds to a benign or a malicious write request. To do so, in a learning phase, statistical models of structured file headers are built using Markov chains. Then[…] -
Formal security proofs in a post-quantum world
Orateur : Charlie Jacomme (CISPA)
In the recent years, formals methods for security and their associated tools have been used successfully both to find novel and complex attacks on many protocols [A] and to help in their standardization process. They however face a new challenge with the increasing probability of quantum computers coming into the real-world: we need to be able to provide guarantees against quantum attackers.In[…]