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◬ AI & Machine Learning Jun 25, 2026
Homomorphic Encryptions for Privacy Preserving Vision

arXiv:2606.25216v1 Announce Type: new Abstract: Legal requirements might prevent organizations from sharing sensitive data like medical or financial details of consumers which prevents them from lever…

arXiv Security Read →
◬ AI & Machine Learning Jun 25, 2026
SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forward

arXiv:2606.25195v1 Announce Type: new Abstract: The increasing use of AI systems for code generation raises a central security question: what can today's models and coding agents actually do to produc…

arXiv Security Read →
◬ AI & Machine Learning Jun 25, 2026
What Does It Mean to Break a Distillation Defense?

arXiv:2606.25059v1 Announce Type: new Abstract: Black-box LLMs (accessible only via API) are vulnerable to distillation attacks, in which an attacker queries the model and trains a student on its outp…

arXiv Security Read →
◬ AI & Machine Learning Jun 25, 2026
Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security

arXiv:2606.24942v1 Announce Type: new Abstract: Proof-of-Work blockchains secure consensus through hash puzzles, producing no external value. In this research, we propose a decentralized AI economy wh…

arXiv Security Read →
◬ AI & Machine Learning Jun 25, 2026
Unprivileged Topology Certificates for Cloud GPU Attestation

arXiv:2606.24934v1 Announce Type: new Abstract: Cloud GPU tenants receive a model name and a region, but cannot directly inspect the physical accelerator that runs their job. We present a software-onl…

arXiv Security Read →
◬ AI & Machine Learning Jun 25, 2026
AI Attacks Are No Longer Experimental: Key Findings from the March-April 2026 AI Threat Landscape - Check Point Blog

AI Attacks Are No Longer Experimental: Key Findings from the March-April 2026 AI Threat Landscape Check Point Blog

Check Point Blog Read →
◬ AI & Machine Learning Jun 24, 2026
Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World
Hugging Face Read →
◬ AI & Machine Learning Jun 24, 2026
The emergence of the web data infrastructure layer for AI

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstru…

MIT Tech Review AI Read →
◬ AI & Machine Learning Jun 24, 2026
Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel
Hugging Face Read →
◬ AI & Machine Learning Jun 24, 2026
PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models

arXiv:2606.24388v1 Announce Type: new Abstract: We introduce a large-scale, open-source dataset of pre-generated adversarial attacks for vision-language models (VLMs). The dataset is designed to be di…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs

arXiv:2606.24370v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly integrated into decision-support roles in business and policy contexts. While prior benchmark studies have…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Accelerating Disaggregated RL for Visual Generative LLMs with Diffusion-Based Parallelism and Trainer-Assisted Generation

arXiv:2606.24369v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a dominant post-training paradigm, driving the emergence of high-performance RL systems such as veRL for autoregr…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
MVG-KAN: Multi-View Geo-Wind Guided KAN for PM$_{2.5}$ Forecasting

arXiv:2606.24347v1 Announce Type: new Abstract: Accurate short-term PM$_{2.5}$ forecasting is important for public health protection, air-quality early warning, and urban environmental management. How…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation

arXiv:2606.24313v1 Announce Type: new Abstract: AI-driven image-to-image synthesis is rapidly advancing, with growing applications in medical imaging. Multi-modal image analysis plays a crucial role i…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
LemonHarness Technical Report

arXiv:2606.24311v1 Announce Type: new Abstract: As large language model (LLM) agents are applied to longer tasks, they increasingly modify workspace state across multiple rounds of iteration. However,…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Tractable Reasoning and Conjunctive Query Answering for Defeasible DL-Lite under Rational Closure

arXiv:2606.24279v1 Announce Type: new Abstract: In Description Logics (DLs), reasoning under Rational Closure (RC) is a well-known and widely accepted non-monotonic formalism to handle defeasible know…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Probing the Misaligned Thinking Process of Language Models

arXiv:2606.24251v1 Announce Type: new Abstract: Large language models exhibit a growing range of misaligned behaviors such as strategic deception, sandbagging, and self-preservation. As they are incre…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach

arXiv:2606.24237v1 Announce Type: new Abstract: Federated Graph Learning facilitates collaborative graph modeling across distributed clients while preserving data privacy. However, real-world data cat…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis

arXiv:2606.24235v1 Announce Type: new Abstract: Spatial proteomics enables single-cell-resolution characterization of protein expression within tissue architecture, playing a critical role in understa…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning

arXiv:2606.24231v1 Announce Type: new Abstract: Multimodal driving planning faces a long-standing tension between two paradigms: scoring-based methods benefit from dense reward supervision but are con…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Exploring the relationship between human-centric AI and firm idiosyncratic risks

arXiv:2606.24224v1 Announce Type: new Abstract: Despite the extensive discussions of human-centric AI (HCAI) in Industry 5.0, its effects on firms' idiosyncratic risks (IR) remains underexplored. This…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Navigating User Behavior toward Personalized Multimodal Generation

arXiv:2606.24196v1 Announce Type: new Abstract: Modern AIGC pipelines deliver high-fidelity images and videos but presuppose a well-formed creation instruction, while end users rarely articulate visua…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
Data Scale, Not Latency, Shapes Cross-Lingual Encoder Transfer in Streaming ASR

arXiv:2606.24169v1 Announce Type: new Abstract: Adapting a streaming speech recognition model to a new language requires choosing between two plausible warm starts: a multilingual (ML) encoder or an E…

arXiv AI Read →
◬ AI & Machine Learning Jun 24, 2026
An Introduction to Causal Reinforcement Learning

arXiv:2606.24160v1 Announce Type: new Abstract: Causal inference provides a set of principles and tools that allow one to combine data and knowledge about an environment to reason with questions of co…

arXiv AI Read →
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