Adversarial Machine Learning (AML) plays a crucial role in cybersecurity as security analysts combat continually evolving attack strategies by malicious adversaries. ML models are increasingly utilized to address the complexity of cyber threats, yet they are susceptible to adversarial attacks. Inves

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Hercules, the mythical Roman hero and son of Zeus, is renowned for his incredible strength and the twelve labors imposed on him by Hera. Despite facing challenging tasks, Hercules triumphed with his unmatched courage and power, securing his place as a legendary figure in mythology. Discover the epic

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Adversarial Machine Learning (AML) is a critical aspect of cybersecurity, addressing the complexity of evolving cyber threats. Security analysts and adversaries engage in a perpetual battle, with adversaries constantly innovating to evade defenses. Machine Learning models offer promise in combating

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Explore the improved black-box constructions of composable secure computation, focusing on definitions, objectives, and the formalization basics of multiparty computation (MPC). Learn about the motivating security aspects in MPC and the real/ideal paradigm. Discover how MPC security involves compari

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Sally Lockhart, upon her father's mysterious death, delves into dangerous mysteries while avoiding the ominous "Seven Blessings." With the help of new friends, Sally uncovers secrets surrounding a valuable Ruby and her father's demise, eventually confronting dangerous adversaries and discovering hid

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OPSEC is crucial in military operations to safeguard critical information from adversaries. This involves identifying vulnerable actions, analyzing threats, and implementing countermeasures. Soldiers must be aware of what information to protect and how to enforce OPSEC effectively.

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Sharding and scaling play a crucial role in enhancing the performance of blockchain networks. This lecture explores how sharding helps distribute the workload efficiently, enabling better storage, computing, and communication scalability. The concept of randomized node allocations and adaptive adver

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Analyzing the best security resource allocation strategy in a railway network involving stations, lines, and potential threats like pickpocketing, fare evasion, and terrorism. Discusses the importance of predictive models, constraints, and optimal resource allocation to combat organized adversaries.

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Anansi the Spider, originating from Ghana, is a prominent figure in West African folklore known for his cunning and ability to outsmart more powerful adversaries. This tale explores Anansi's role as a trickster and his significance in the African diaspora, particularly in Jamaica. Through oral and w

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Cryptography and cryptology involve secure communication techniques to protect data from third-party adversaries. This article introduces provable security models, cryptographic goals like confidentiality and authenticity, and the approach of security by trial-and-error versus provable security meth

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Comprehensive information on methodologies and approaches useful for cyber threat assessment and Cyber DBT alongside classical DBT methodology as outlined in the NSS-10 document by S.K. Parulkar. The content discusses the importance of threat assessment, differences between physical and cyber threat

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Intercept X's Early Access Program offers advanced security solutions to combat active adversaries and advanced malware. The program covers deep learning techniques, false positive mitigations, and credential theft protection. It focuses on protecting against various threats such as credential theft

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Bogdan Warinschi from the University of Bristol, along with David Bernhard and Marc Fischlin, discusses the challenges in proving the chosen-ciphertext security of signed ElGamal encryption schemes. The potential solution involves adding a proof of knowledge to ciphertexts to prevent adversaries fro

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This document outlines the security requirements for the IEEE 802.11-17/1373r1 protocol, focusing on authentication, encryption algorithms, key management, and message integrity in both associated and unassociated states. It also addresses securing against adversaries with specified response times,

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This research addresses the vulnerabilities of onion routing to timing attacks and proposes solutions to prevent active timing attacks, focusing on low-latency anonymous communication systems. Various problems related to timing attacks in onion routing are analyzed, including the role of adversaries

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Buffering problems in communication networks involve managing the flow of packets at routers to maximize throughput while considering factors like packet deadlines and buffer size limitations. These problems are often viewed as online games between algorithms and adversaries, with competitive ratios

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Introduction to Operational Security (OPSEC) and its importance in safeguarding critical information from adversaries. The process involves identifying, analyzing threats and vulnerabilities, conducting risk assessments, and applying appropriate OPSEC measures. Loose Lips Sink Ships emphasizes regul

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In this tribute to Ran Canetti, insights are shared on environmental security, ingenuity, and secure multi-party computation (MPC). The discussion delves into the essence of ingenuity, addressing why some may misunderstand discoveries. Furthermore, the concept of environmental security and its pivot

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Understanding security in computer systems involves achieving goals in the presence of adversaries. However, this task is challenging due to the need to guarantee policies in the face of realistic and open-ended threat models. Issues can arise from problems with policy formulation, assumptions in th

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This study by Sidharth Jaggi from The Chinese University of Hong Kong delves into reliable communication in scenarios with limited adversaries. The research group focuses on designing and optimizing codes, algorithms, and networks for information theory, exploring various background communication sc

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Carnegie Mellon University's research focuses on secure hypervisor systems, address space separation, and verification tasks to ensure security properties in the presence of adversaries. Challenges include scalability in model checking due to complex data structures in address translation. The aim i

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Cryptography is the study of methods for sending and receiving secret messages. In this lecture, we explore the design and application of cryptosystems, such as the RSA cryptosystem and Turing's Code. The goal is to securely encrypt and decrypt messages using number theory to protect communication f

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Modern censorship resistance tools like decoy routing provide a new approach against web censorship at a nation-state level. Decoy routing involves placing a proxy in the middle of paths to hide user packets from detection by adversaries. The use of decoys helps in avoiding the enumeration of censor

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This document explores the world of adversarial threats in machine learning, covering topics such as attack nomenclature, dimensions in adversarial learning, influence dimension, causative and exploratory approaches in attacks, and more. It delves into how adversaries manipulate data or models to co

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This paper discusses a round-efficient Byzantine broadcast protocol that addresses strong adaptive adversaries and majority corruptions. The protocol involves unique and unbreakable peer signatures, committees for message verification, and time-locking mechanisms to prevent message tampering. By uti

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Deep learning, particularly deep neural networks (DNNs), has revolutionized machine learning with its high accuracy rates. However, in adversarial settings, adversaries can manipulate DNNs by crafting adversarial samples to force misclassification. Such attacks pose risks in various applications, in

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Adversarial Risk Analysis for Urban Security is a framework aimed at managing risks from the actions of intelligent adversaries in urban security scenarios. The framework employs a Defend-Attack-Defend model where two intelligent players, a Defender and an Attacker, engage in sequential moves, with

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Scrypt is a memory-hard function designed for password hashing and key derivation, aiming to thwart brute-force attacks by making evaluation moderately hard. It emphasizes the need for memory intensity over computation, hindering the advantages of special-purpose hardware, parallelism, and amortizat

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Explore the importance of threat intelligence in incident response, covering aspects such as understanding adversaries, assessing risks, evaluating threats, and leveraging strategic intelligence. Learn how organizations can benefit from a proactive approach to cybersecurity by utilizing threat intel

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Exploring the traits of biological adversaries, this study reveals that perpetrators with higher education levels are more likely to successfully use chemical and biological agents. Success tends to increase with age and years of activity. Most individual perpetrators originate from the MENA region,

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Join Seth Hanford at DEFEND THE DEFENDERS conference where he shares insights on managing and participating in excellent teams. Learn about solving problems with limited resources, combating human adversaries, and attracting and retaining the right people. Whether you are an individual defender or a

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Gene Spafford highlights the risks of consolidating critical information in the cloud, noting that the concentration of key resources creates a target for adversaries. Monocultures, where systems run identical software components, increase vulnerability to malware attacks. The example of OpenSSL's b

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This content discusses the concepts of leakage-resilient key exchange and seed extractors in cryptography, focusing on scenarios involving Alice, Bob, and Eve. It covers non-interactive key exchanges, passive adversaries, perfect randomness challenges, and leakage-resilient settings in symmetric-key

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Delve into the realm of post-quantum cryptography through an insightful journey of constructive reductions, rethinking cryptography assumptions, and the relationship between classical and post-quantum regimes. Discover the challenges, advancements, and goals in the quest for durable cryptographic al

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This research paper discusses trust-based anonymous communication models and routing algorithms in the context of onion routing, emphasizing the importance of trust in mitigating security risks from adversaries with resources. The paper presents a model of trust and proposes trust-based routing algo

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Deception plays a crucial role in risk analysis, particularly in military scenarios where adversaries employ strategies to mislead and confuse. This involves reasoning under uncertainty, employing tactics like feint attacks, counter-recce activities, dummy airfields, and more. Understanding the use

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Cryptography researchers revisit the Bounded Storage Model (BSM) to enhance security in transmitting messages while considering limited storage capacities. The BSM restricts adversaries to limited storage, enabling unconditional security. The model aims to address challenges in message transmission

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Explore the concept of wiretap coding for secure communication in scenarios with eavesdroppers. This content delves into formal definitions, impossibility scenarios, and the quest for achieving secure transmission between parties without compromising data privacy. Learn about encryption schemes, adv

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