PassGAN: A Deep Learning Approach for Password Guessing

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We present the design and implementation of SafetyPin, a system for encrypted mobile-device backups. Like existing cloud-based mobile-backup systems, including those of Apple and Google, SafetyPin requires users to remember only a short PIN and defends aga ...

Recent works have demonstrated the possibility of extracting secrets from a cryptographic core running on an FPGA by means of remote power analysis attacks. To mount these attacks, an adversary implements a voltage fluctuation sensor in the FPGA logic, rec ...

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

Side-channel attacks exploit a physical observable originating from a cryptographic device in order to extract its secrets. Many practically relevant advances in the field of side-channel analysis relate to security evaluations of cryptographic functions a ...

Following up mass surveillance and privacy issues, modern secure communication protocols now seek strong security, such as forward secrecy and post-compromise security, in the face of state exposures. To address this problem, ratcheting was thereby introdu ...

Albeit very appealing, FPGA multitenancy in the cloud computing environment is currently on hold due to a number of recently discovered vulnerabilities to side-channel attacks and covert communication. In this work, we successfully demonstrate a new attack ...

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We consider the problem of learning a target function corresponding to a deep, extensive-width, non-linear neural network with random Gaussian weights. We consider the asymptotic limit where the number of samples, the input dimension and the network width ...

Many real-world group messaging systems delegate group administration to the application level, failing to provide formal guarantees related to group membership. Taking a cryptographic approach to group administration can prevent both implementation and pr ...

FPGAs have made their way into the cloud, allowing users to gain remote access to the state-of-the-art reconfigurable fabric and implement their custom accelerators. Since FPGAs are large enough to accommodate multiple independent designs, the multi-tenant ...

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Authenticated Encryption (AE) is a symmetric key cryptographic primitive that ensures confidentiality and authenticity of processed messages at the same time. The research of AE as a primitive in its own right started in 2000. The security goals of AE wer ...

Side-channel disassembly attacks recover CPU instructions from power or electromagnetic side-channel traces measured during code execution. These attacks typically rely on physical access, proximity to the victim device, and high sampling rate measuring in ...

In our daily lives, people or devices frequently need to learn their location for many reasons as some services depend on the absolute location or the proximity. The outcomes of positioning systems can have critical effects e.g., on military, emergency. Th ...

With the looming threat of large-scale quantum computers, a fair portion of recent cryptographic research has focused on examining cryptographic primitives from the perspective of a quantum adversary. Shor's 1994 result revealed that quantum computers can ...

The security of public-key cryptography relies on well-studied hard problems, problems for which we do not have efficient algorithms. Factorization and discrete logarithm are the two most known and used hard problems. Unfortunately, they can be easily solv ...

Homomorphic Encryption (HE) enables computations to be executed directly on encrypted data. As such, it is an auspicious solution for protecting the confidentiality of sensitive data without impeding its usability. However, HE does not provide any guarant ...

The Bitcoin architecture heavily relies on the ECDSA signature scheme which is broken by quantum adversaries as the secret key can be computed from the public key in quantum polynomial time. To mitigate this attack, bitcoins can be paid to the hash of a pu ...

PassGAN: A Deep Learning Approach for Password Guessing

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SafetyPin: Encrypted Backups with Human-Memorable Secrets

Are Cloud FPGAs Really Vulnerable to Power Analysis Attacks?

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

The Side-channel Metrics Cheat Sheet

Symmetric Asynchronous Ratcheted Communication with Associated Data

X-Attack: Remote Activation of Satisfiability Don’t-Care Hardware Trojans on Shared FPGAs

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Cryptographic Administration for Secure Group Messaging

Timing Violation Induced Faults in Multi-Tenant FPGAs

A deep learning-approach to infer somatic alterations in glioma using digital tissue slides

On Secure Cloud Computing for Genomic Data: From Storage to Analysis

Community-Aware Group Testing

Provably Secure Authenticated Encryption

Instruction-Level Power Side-Channel Leakage Evaluation of Soft-Core CPUs on Shared FPGAs

Implications of Position in Cryptography

Security in the Presence of Quantum Adversaries

LPN in Cryptography : an Algorithmic Study

Thwarting Malicious Adversaries in Homomorphic Encryption Pipelines

Making Classical (Threshold) Signatures Post-quantum for Single Use on a Public Ledger