Outputs (26)

Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification (2022)
Journal Article

Machine learning is key for automated detection of malicious network activity to ensure that computer networks and organizations are protected against cyber security attacks. Recently, there has been growing interest in the domain of adversarial mach... Read More about Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification.

Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey (2022)
Journal Article

Machine learning has become widely adopted as a strategy for dealing with a variety of cybersecurity issues, ranging from insider threat detection to intrusion and malware detection. However, by their very nature, machine learning systems can introdu... Read More about Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey.

Feature vulnerability and robustness assessment against adversarial machine learning attacks (2021)
Presentation / Conference Contribution

Whilst machine learning has been widely adopted for various domains, it is important to consider how such techniques may be susceptible to malicious users through adversarial attacks. Given a trained classifier, a malicious attack may attempt to craf... Read More about Feature vulnerability and robustness assessment against adversarial machine learning attacks.

Partially structure-preserving signatures: Lower bounds, constructions and more (2021)
Presentation / Conference Contribution

In this work we first provide a framework for defining a large subset of pairing-based digital signature schemes which we call Partially Structure-Preserving Signature (PSPS) schemes. PSPS schemes are similar in nature to structure-preserving signatu... Read More about Partially structure-preserving signatures: Lower bounds, constructions and more.

Foundations of fully dynamic group signatures (2020)
Journal Article

Group signatures allow members of a group to anonymously sign on behalf of the group. Membership is administered by a designated group manager. The group manager can also reveal the identity of a signer if and when needed to enforce accountability an... Read More about Foundations of fully dynamic group signatures.

Further lower bounds for structure-preserving signatures in asymmetric bilinear groups (2019)
Presentation / Conference Contribution

Structure-Preserving Signatures (SPSs) are a useful tool for the design of modular cryptographic protocols. Recent series of works have shown that by limiting the message space of those schemes to the set of Diffie-Hellman (DH) pairs, it is possible... Read More about Further lower bounds for structure-preserving signatures in asymmetric bilinear groups.

Towards a classification of non-interactive computational assumptions in cyclic groups (2017)
Presentation / Conference Contribution

We study non-interactive computational intractability assumptions in prime-order cyclic groups. We focus on the broad class of computational assumptions, which we call target assumptions, where the adversary's goal is to compute a concrete group elem... Read More about Towards a classification of non-interactive computational assumptions in cyclic groups.

Linear-time zero-knowledge proofs for arithmetic circuit satisfiability (2017)
Presentation / Conference Contribution

We give computationally efficient zero-knowledge proofs of knowledge for arithmetic circuit satisfiability over a large field. For a circuit with N addition and multiplication gates, the prover only uses O(N) multiplications and the verifier only use... Read More about Linear-time zero-knowledge proofs for arithmetic circuit satisfiability.

Subset Signatures with Controlled Context-Hiding (2017)
Book

Subset signatures are a variant of malleable signatures which allow anyone to derive signatures on any subset of previously signed sets in such a way that derived signatures are indistinguishable from new signatures on the subset (i.e.~context-hidi... Read More about Subset Signatures with Controlled Context-Hiding.

Attribute-based signatures with user-controlled linkability without random oracles (2017)
Book Chapter

Attribute-Based Signatures (ABS) are a versatile cryptographic primitive and have many applications. They are a generalization of many widely-used signature-related notions such as group, ring and mesh signatures.
Attribute-Based Signatures with U... Read More about Attribute-based signatures with user-controlled linkability without random oracles.