Traffic-Aware Randomized Smoothing (TA-RS) enhances LLM-based intrusion detection
TA-RS injects Gaussian noise into controllable features during fine-tuning and certification, improving certified accuracy. Standard randomized smoothing yields weak certified accuracy without noise-augmented fine-tuning.
TRACE assigns rewards in multi-turn agents via credit estimation
TRACE represents rollouts as state transitions and obtains log-probabilities from a frozen reference model. This approach addresses the challenge of credit assignment in multi-turn agents.
DVM-HALL model reevaluates customer loyalty in autonomous commerce
The DVM-HALL model synthesizes literature on human-machine teaming, consumer decision-making, and algorithmic trust dynamics to address the limitations of traditional loyalty models.
Inkling is a 975B parameter LLM
Inkling is a large language model with open weights, allowing for further research and development.
Mysticeti DAG-based BFT protocol has transaction-ordering bias
The bias can be exploited to profit at other users' expense, highlighting a problem with maximal extractable value (MEV).
Traffic-Aware Randomized Smoothing (TA-RS) enhances LLM-based intrusion detection
TA-RS injects Gaussian noise into controllable features during fine-tuning and certification, improving certified accuracy. Standard randomized smoothing yields weak certified accuracy without noise-augmented fine-tuning.
TRACE assigns rewards in multi-turn agents via credit estimation
TRACE represents rollouts as state transitions and obtains log-probabilities from a frozen reference model. This approach addresses the challenge of credit assignment in multi-turn agents.
DVM-HALL model reevaluates customer loyalty in autonomous commerce
The DVM-HALL model synthesizes literature on human-machine teaming, consumer decision-making, and algorithmic trust dynamics to address the limitations of traditional loyalty models.
Inkling is a 975B parameter LLM
Inkling is a large language model with open weights, allowing for further research and development.
Meta explores Hierarchical Interest Representation for ads
Hierarchical Interest Representation aims to learn unified embeddings that connect users' interests with advertisers' offerings, enhancing ads optimization.
GPT-Red improves AI safety via self-play
GPT-Red is an automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.
Government of Alberta uses Claude for cybersecurity
The Government of Alberta utilized Claude to identify and fix cybersecurity vulnerabilities across their systems.
Ben Bernanke joins Anthropic's Long-Term Benefit Trust
Ben Bernanke's appointment to Anthropic's Long-Term Benefit Trust reflects the company's commitment to long-term decision-making and benefit.
Anthropic introduces reflection feature for Claude
The new feature allows users to reflect on their usage of Claude, promoting more effective and responsible interaction with the AI system.
US advances AI safety through state and federal action
OpenAI outlines a 'reverse federalism' approach to AI governance, where state laws contribute to a national framework for safe and democratic AI.
RISC-V is considered inevitable
The State of the Union Keynote argues that RISC-V is an inevitable development in the tech industry.
Vulnerable shim versions bypass Secure Boot
The CMU CERT Coordination Center advisory highlights that many exploitable shim versions were not added to the revocation list, allowing attackers to bypass Secure Boot protections.
Security updates issued by AlmaLinux, Debian, Fedora, Mageia, Oracle, Red Hat, SUSE
The updates address various vulnerabilities in multiple packages, including kernel, openssl, and python3.
io_uring uses lockless MPSC FIFO queues in 7.2 kernel
The new queue improves performance and is relatively approachable, showing how lockless algorithms can work.
Local DoS attack vectors found in seunshare 3.10
The vulnerabilities can be exploited to achieve privilege escalation on SELinux-enabled systems.
LWN.net Weekly Edition for July 16, 2026
The edition covers various topics, including scraper bots, io_uring queues, and Debian bookworm.
Mysticeti DAG-based BFT protocol has transaction-ordering bias
The bias can be exploited to profit at other users' expense, highlighting a problem with maximal extractable value (MEV).
Distributed framework for compiling d-DNNF
The framework, called dkc, effectively partitions the search space into independent sub-problems.
Terabyte-scale AIS-aligned passive acoustic labelling
The approach uses a database-native workflow to align hydrophone recordings with AIS position reports.
Compilation-based execution of semantic operators
The approach translates semantic operator specifications into deterministic executable code.
Backpropagation for effectful languages
The construction is formulated in the framework of Combinatory Homomorphic Automatic Differentiation (CHAD).
Lexicographic direct access with functional dependencies
The approach gives fine-grained lower and upper bounds on the preprocessing time required.
Velox: a composable C++ execution engine library
The library is designed for data management systems and is fully extensible.
Fmt: a modern C++ formatting library
The library provides a simple and efficient way to format strings.
OpenCV is an open-source computer vision library.
It provides a wide range of functions for image and video processing, feature detection, and object recognition. OpenCV is widely used in various fields, including robotics, surveillance, and medical imaging.
TensorFlow is an open-source machine learning framework.
It supports a wide range of algorithms and is used in various applications, including natural language processing, computer vision, and speech recognition. TensorFlow is widely adopted in the industry and academia.
FTXUI is a C++ functional terminal user interface library.
It provides a simple and easy-to-use API for building terminal-based user interfaces. FTXUI is suitable for building command-line tools and applications.
BAML is a programming language for agents.
It is designed to support the development of autonomous agents and provides features such as concurrency and communication primitives. BAML is implemented in Rust.