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cs.CR updates on arXiv.org

Agentic Vulnerability Reasoning on Windows COM Binaries From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems Token-Efficient Change Detection in LLM APIs Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification Trident: Improving Malware Detection with LLMs and Behavioral Features When Alignment Isn't Enough: Response-Path Attacks on LLM Agents RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Text Steganography with Dynamic Codebook and Multimodal Large Language Model An AI Agent Execution Environment to Safeguard User Data TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
Online Unplugged and Block-Based Cryptography in Grade 10
Michael Lodi, Marco Sbaraglia, Simone Martini · 2021-12-20 · via cs.CR updates on arXiv.org

We report our experience of an extracurricular online intervention on cryptography principles in 10th grade. This paper's first goal is to present the learning path we designed, influenced by cryptography core ideas rather than technical knowledge. We will detail how we used Snap! (a visual programming language) to realize hands-on activities: programming playgrounds to experiment with cryptosystems and their limits, and interactive support for an unplugged activity on the Diffie-Hellman key exchange. The second goal is to evaluate our intervention in terms of both student perceptions and learning of core cryptography ideas. The students appreciated the course and felt that, despite being remote, it was fun, interesting, and engaging. They said the course helped them understand the role of cryptography, CS, and Math in society and sparked their interest, especially in cryptography and CS. The third goal is to discuss what worked well and areas of improvement. Pedagogically, remote teaching caused high "instructor blindness" and prevented us from giving the optimal amount of guidance during the exploration activities with Snap! playgrounds, making them sometimes too challenging for total programming novices. On the other hand, the "remote-unplugged" Diffie-Hellman worked well: it embodies a coherent metaphor that engaged the students and made them grasp this groundbreaking protocol. The students praised the activities as engaging, even when challenging. The final assessment showed that the core cryptography ideas were well understood.