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◬ AI & Machine Learning Jun 01, 2026
Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents

arXiv:2605.30677v1 Announce Type: new Abstract: Agentic software reverse engineering systems are vulnerable to prompt injection attacks placed into the source code of executable binary files. This res…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
Automatically Attacking Software Reverse Engineering AI Agents

arXiv:2605.30667v1 Announce Type: new Abstract: Software tools for reverse engineering executable binary files, such as Ghidra, enable malware analysts to safely conduct robust static analysis without…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech

arXiv:2605.30650v1 Announce Type: new Abstract: Artificial intelligence is now embedded as a primary decision engine in continuously operated financial AI pipelines spanning training and updating, dep…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors

arXiv:2605.30614v1 Announce Type: new Abstract: With the rise of AI-generated audio, watermarking has become widely used for detecting misuse and protecting intellectual property. However, adversaries…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
CacheProbe: Auditing Prompt Cache Isolation in Gateway APIs

arXiv:2605.30613v1 Announce Type: new Abstract: Over the past year, prompt caching in Large Language Models (LLMs) has become increasingly more popular across inference APIs. Prompt caching helps save…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations

arXiv:2605.30604v1 Announce Type: new Abstract: Regulated cybersecurity workflows lack a runtime substrate that enforces organization-level scope across retrieval, tool calls, memory, findings, report…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustness

arXiv:2605.30578v1 Announce Type: new Abstract: Adversarial patches are physical patterns attached to real objects to mislead AI vision systems. Their real-world risk is not determined by a single suc…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
Strengthening Polymorphic Prompt Assembling: Dynamic Separator Generation Against Emerging Prompt Injection Attacks

arXiv:2605.30534v1 Announce Type: new Abstract: Polymorphic Prompt Assembling (PPA) defends LLM agents against prompt injections by randomly selecting separator pairs from a fixed pool to isolate user…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
The Surface You Test Is Not the Surface That Breaks

arXiv:2605.30454v1 Announce Type: new Abstract: Tool-augmented LLM agents are vulnerable to prompt injection: a third party who controls part of the agent's context can plant instructions that the age…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection

arXiv:2605.30366v1 Announce Type: new Abstract: Recent Singing Voice Synthesis (SVS) advances enable highly realistic but potentially malicious AI covers, making singing voice deepfake detection (SVDD…

arXiv Security Read →
◬ AI & Machine Learning Jun 01, 2026
KPMG 2026 cybersecurity report names non-human identities as critical CISO problem - Cybersecurity Insiders

KPMG 2026 cybersecurity report names non-human identities as critical CISO problem Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning May 31, 2026
Cybersecurity roles lead the pack in tech hiring in 2026 - Spiceworks

Cybersecurity roles lead the pack in tech hiring in 2026 Spiceworks

Spiceworks Read →
◬ AI & Machine Learning May 31, 2026
Stanford AI Index 2026: Security Is Now the #1 Scaling Barrier - Cybersecurity Insiders

Stanford AI Index 2026: Security Is Now the #1 Scaling Barrier Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning May 30, 2026
Cybersecurity Product Roadmap: A 2026 Founder’s Playbook - Security Boulevard

Cybersecurity Product Roadmap: A 2026 Founder’s Playbook Security Boulevard

Security Boulevard Read →
◬ AI & Machine Learning May 29, 2026
9 demos of Gemini Omni and Gemini 3.5 in action

Watch 9 videos showing the capabilities of Gemini Omni and Gemini 3.5, announced at Google I/O 2026.

Google AI Read →
◬ AI & Machine Learning May 29, 2026
Take our I/O 2026 quiz, vibe coded in Google AI Studio.

We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.

Google AI Read →
◬ AI & Machine Learning May 29, 2026
Check out real-life AI prototypes from the Futures Lab.

University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.

Google AI Read →
◬ AI & Machine Learning May 29, 2026
How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment

Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“…

MIT Tech Review AI Read →
◬ AI & Machine Learning May 29, 2026
Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
Hugging Face Read →
◬ AI & Machine Learning May 29, 2026
Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model Compatibility

arXiv:2605.29229v1 Announce Type: new Abstract: Reasoning distillation transfers complex reasoning abilities from large language models (LLMs) to smaller ones, yet its success depends on how well the …

arXiv AI Read →
◬ AI & Machine Learning May 29, 2026
BenchTrace: A Benchmark for Testing Reflection Ability and Controlled Evolution in LLM Agents

arXiv:2605.29225v1 Announce Type: new Abstract: Self-evolving agents improve over time by reflecting on past failures, but existing evaluation is limited in two ways: it measures only task scores, lea…

arXiv AI Read →
◬ AI & Machine Learning May 29, 2026
GTA: Generating Long-Horizon Tasks for Web Agents at Scale

arXiv:2605.29218v1 Announce Type: new Abstract: Web agents, which couple language models with browsing and tool-use capabilities, show promise as open web assistants. Yet progress is increasingly limi…

arXiv AI Read →
◬ AI & Machine Learning May 29, 2026
ReasonOps: Operator Segmentation for LLM Reasoning Traces

arXiv:2605.29192v1 Announce Type: new Abstract: Chain-of-thought traces from large reasoning models can span tens of thousands of tokens, yet we lack a vocabulary for describing their internal structu…

arXiv AI Read →
◬ AI & Machine Learning May 29, 2026
Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents

arXiv:2605.29174v1 Announce Type: new Abstract: DeFi investment agents, systems that use AI for autonomous on-chain trading, have attained over USD 3 billion in combined token valuations since late 20…

arXiv AI Read →
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