Variational Probabilistic Quantization for Secret Key Generation

Secret key generation from correlated observations at Alice and Bob, in the presence of an eavesdropper Eve, underpins physical-layer security. Classical pipelines quantize by hand, amplify privacy afterwards, and optimize no objective tied to a key rate. We propose Variational Probabilistic...

awesome-ai-security — Updated!

awesome-ai-security A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers. If you find that some links are not working, you can simply replace the username with gmh5225. Or you can send an issue for me. Show respect to all the projects below,...

Adversarial Vulnerabilities of Neural Biomarker Identification Systems

There is growing interest in the proposed use of EEG signals as biometric credentials, but thus far there has been little research on the reliability and security of such biometrics. Prior adversarial tests have focused on deep-learning classifiers and assumed attackers have full access to the...

Johnny Still Receives Spam SMS: Assessing the Robustness of SMS Spam Detection

SMS spam detection systems often achieve high accuracy in controlled environments but struggle against adversarial attacks and increasingly sophisticated spam tactics in real-world deployments. In this paper, we evaluate the robustness of SMS anti-spam systems that end users actually rely on,...

HiveTraceGuard-Pro: A Compact Generative Guardrail for Prompt Injection, Jailbreaks, and Adversarial Obfuscation

Production LLMs must handle inputs that attempt to override system instructions, bypass safety policies or elicit harmful responses. A common mitigation is a separate guardrail model. Existing reports, however, provide little evidence on Russian prompt injection or Russian surface obfuscation. We...

PhantomCall: Evading ML Malware Detectors Via Function Call Graph Perturbation

Prior adversarial attacks on Windows PE malware detectors target raw bytes, PE headers, or intra-function control-flow graphs, leaving the function call graph FCG unexplored as an attack surface. Yet the FCG structure is an important feature in graph-based malware detectors. We present Phan-...

Kaspersky-CTF-2026

Kaspersky CTF 2026 Solutions, exploits, and writeups for the...

Enhancing Web Application Firewalls with Machine Learning for SQL Injection Detection

Detecting SQL Injection SQLi attacks ranks among the most critical challenges in web application security. This research conducted a systematic literature review to identify the research gaps in this domain and responsively designed and optimised a DistilBERT-Stacked Ensemble pipeline to improve...

REPLICANT: Learning Policies for Evading and Hardening Malware Detectors

To determine the real-world effectiveness of machine learning based malware detection, it is vital to evaluate its robustness against highly capable adversaries. However, state-of-the-art attacks do not effectively model realistic adversaries, as they often assume access to privileged information...

Adversarial Training of Linear Models under Stealthy Attacks

Predictive models are widely used in many fields, but are vulnerable to false data injection attacks. To address this, detection schemes and adversarial training have been proposed, but such approaches lack guarantees against stealthy attacks. We therefore propose a detector-based switched model,...

Vulnerable Code Search: Transferable Attack for Code Language Models

Reliable code retrieval is crucial for developer productivity and effective code reuse. However, current neural code language models CLMs powering search tools are susceptible to adversarial attacks targeting non-functional textual elements. In this paper, we introduce a programming...

ac-solver (0.1.0), acedeploy (>=2.4.15, <=2.4.366.dev1) +916 more potentially affected by CVE-2026-78679 via gitpython (>=0.3.4, <=3.1.58)

gitpython PYPI version =0.3.4, =2.4.15, =2025.10.17, =0.4.0, =0.4.0, =1.2.3, =0.4.7, =0.4.7, =0.2.0, =0.1.8, =0.87.2.dev9, =0.5.0, =0.1.0.dev19, =1.3.0, =2.0.3 and more Source cves: CVE-2026-78679 Source advisory: MEND:CVE-2026-78679...

ac-solver (0.1.0), acedeploy (>=2.4.15, <=2.4.366.dev1) +916 more potentially affected by CVE-2026-78677 via gitpython (>=0.3.4, <=3.1.58)

gitpython PYPI version =0.3.4, =2.4.15, =2025.10.17, =0.4.0, =0.4.0, =1.2.3, =0.4.7, =0.4.7, =0.2.0, =0.1.8, =0.87.2.dev9, =0.5.0, =0.1.0.dev19, =1.3.0, =2.0.3 and more Source cves: CVE-2026-78677 Source advisory: MEND:CVE-2026-78677...

Defending Network Intrusion Detection Systems Based on Graph Neural Networks against Structural Adversarial Attacks

Graph Neural Networks GNNs represent a promising solution for Machine Learning ML based Network Intrusion Detection Systems NIDS, thanks to their ability to leverage both network flow features and topological patterns. While GNN classifiers demonstrate superior robustness against feature-based...

InjecMEM: Memory Injection Attack on LLM Agent Memory Systems

Memory is becoming a default subsystem in deployed LLM agents to provide persistent personalization and continuity. This naturally prompts a question: will memory system introduce new vulnerabilities into agents? Thus we propose InjecMEM, a novel memory injection attack paradigm that requires onl...

Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation

Cloud environments built on Amazon Web Services face a structural security vulnerability: once a credential passes authentication, the resulting session is often treated as trusted for its entire duration. This assumption fails when credentials are stolen. We introduce the Explainable Adaptive Ze...

The Software Supply Chain As a Market for Lemons: A Multivocal Review of Trust Signal Collapse

Practitioners evaluating open-source dependencies rely on cheap trust signals, e.g., stars, download counts, and contributor activity, as substitutes for direct code inspection, assuming those signals reflect genuine trustworthiness. Prior work has documented individual signal gaming, but the...

Chameleon: Robust Defense against Tor Website Fingerprinting Via Many-To-Many Traffic Morphing

Website fingerprinting WF attacks can infer users' browsing activities from encrypted Tor traffic by exploiting side-channel features. Although many WF defenses have been proposed, we find that most existing defenses create learnable web trace mapping features. We further show that robustness...

SiNMULI: Novel Signed Network Approach for Malicious URL Identification

In today's era of rapid advancements in artificial intelligence, computer security and online safeguarding measures have undergone significant improvements. However, malicious websites continue to facilitate the spread of phishing schemes, fraudulent activities and unsolicited communications...

augustus v0.14.20

Augustus - LLM vulnerability scanner for prompt injection, jailbreak, and adversarial attack testing Augustus - LLM Vulnerability Scanner Test large language models against 210+ adversarial attacks covering prompt injection, jailbreaks, encoding exploits, and data extraction. Augustus is a Go-bas...