Image de couverture de livre

ammBoost: State Growth Control for AMMs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Michel, Nicolas, Najd, Mohamed E., Almashaqbeh, Ghada
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ammBoost: State Growth Control for AMMs
par: Michel, Nicholas, et autres
Publié: (2025)

chainScale: Secure Functionality-oriented Scalability for Decentralized Resource Markets
par: Najd, Mohamed E., et autres
Publié: (2025)

chainBoost: A Secure Performance Booster for Blockchain-based Resource Markets
par: Motaqy, Zahra, et autres
Publié: (2024)

Adversary Resilient Learned Bloom Filters
par: Almashaqbeh, Ghada, et autres
Publié: (2024)

RTS-ABAC: Real-Time Server-Aided Attribute-Based Authorization & Access Control for Substation Automation Systems
par: Gstür, Moritz, et autres
Publié: (2026)

Boosting Device Utilization in Control Flow Auditing
par: Lengert, Alexandra, et autres
Publié: (2026)

CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge
par: Keppler, Gustav, et autres
Publié: (2026)

A Global Analysis of Cyber Threats to the Energy Sector: "Currents of Conflict" from a Geopolitical Perspective
par: Sánchez, Gustavo, et autres
Publié: (2025)

Advancing Security in Software-Defined Vehicles: A Comprehensive Survey and Taxonomy
par: Sghaier, Khaoula, et autres
Publié: (2025)

Comparison of Access Control Approaches for Graph-Structured Data
par: Mohamed, Aya, et autres
Publié: (2024)

Boost+: Equitable, Incentive-Compatible Block Building
par: Zhang, Mengqian, et autres
Publié: (2026)

FederBoost: Private Federated Learning for GBDT
par: Tian, Zhihua, et autres
Publié: (2020)

Boosting Communication Efficiency of Federated Learning's Secure Aggregation
par: Nazemi, Niousha, et autres
Publié: (2024)

SPIDER: Fuzzing for Stateful Performance Issues in the ONOS Software-Defined Network Controller
par: Li, Ao, et autres
Publié: (2022)

Bilateral Differentially Private Vertical Federated Boosted Decision Trees
par: Zhang, Bokang, et autres
Publié: (2025)

Evaluating Predictive Models in Cybersecurity: A Comparative Analysis of Machine and Deep Learning Techniques for Threat Detection
par: Hesham, Momen, et autres
Publié: (2024)

ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control
par: Hu, Yuzheng, et autres
Publié: (2025)

How Would Oblivious Memory Boost Graph Analytics on Trusted Processors?
par: Yu, Jiping, et autres
Publié: (2025)

WAFBOOSTER: Automatic Boosting of WAF Security Against Mutated Malicious Payloads
par: Wu, Cong, et autres
Publié: (2025)

Protocols for Univariate Sumcheck
par: Mohamed, Malcom
Publié: (2025)

Boosting Cybersecurity Vulnerability Scanning based on LLM-supported Static Application Security Testing
par: Keltek, Mete, et autres
Publié: (2024)

The Hashed Fractal Key Recovery (HFKR) Problem: From Symbolic Path Inversion to Post-Quantum Cryptographic Keys
par: Bouke, Mohamed Aly
Publié: (2025)

Bistochastically private release of data streams with zero delay
par: Ruiz, Nicolas
Publié: (2024)

A traffic analysis attack against Introduction Protocol and Onion Services
par: Constantinides, Nicolas
Publié: (2026)

Lambda-randomization: multi-dimensional randomized response made easy
par: Ruiz, Nicolas
Publié: (2026)

When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks
par: Elmahallawy, Mohamed, et autres
Publié: (2025)

Deep Dive into the Abuse of DL APIs To Create Malicious AI Models and How to Detect Them
par: Nabeel, Mohamed, et autres
Publié: (2026)

Mitigating Collusion in Proofs of Liabilities
par: Mohamed, Malcom, et autres
Publié: (2026)

Eliminating Exponential Key Growth in PRG-Based Distributed Point Functions
par: Damie, Marc, et autres
Publié: (2025)

Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
par: Njungle, Nges Brian, et autres
Publié: (2025)

Toward a Dynamic Intellectual Property Protection Model in High-Growth SMEs
par: Pitruzzello, Sam, et autres
Publié: (2026)

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
par: Cebere, Tudor, et autres
Publié: (2024)

A Blockchain-Based Audit Mechanism for Trust and Integrity in IoT-Fog Environments
par: Martinez, Ismael, et autres
Publié: (2024)

Enhancing Security Awareness Through Gamified Approaches
par: Ahmed, Yussuf, et autres
Publié: (2024)

Stateful Agent Backdoor
par: Dai, Zhengchunmin, et autres
Publié: (2026)

SilentWood: Private Inference Over Gradient-Boosting Decision Forests
par: Ko, Ronny, et autres
Publié: (2024)

StateFi: Effectively Identifying Wi-Fi Devices through State Transitions
par: Mishra, Abhishek K., et autres
Publié: (2025)

Systematic Assessment of Cache Timing Vulnerabilities on RISC-V Processors
par: Austa, Cédrick, et autres
Publié: (2025)

FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption
par: Njungle, Nges Brian, et autres
Publié: (2025)

Zero-Knowledge Proof Frameworks: A Systematic Survey
par: Sheybani, Nojan, et autres
Publié: (2025)