Model-Agnostic Defense

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Defense Strategies

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SHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection Systems
Jun 5, 2026Maryam Zaman, Muhammad Khuram ShahzadIntrusion Detection Denial-Of-Service Attacks
Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition
Jun 4, 2026Yifan Liao, Zongmin Zhang, Zhen Sun +3Llm-Based Automatic Speech Recognition Model-Agnostic Defense
Hybrid Adversarial Defence for Natural Language Understanding Tasks
Jun 3, 2026Manar Abouzaid, Yang Wang, Chenghua Lin +1Language Model Evasion Attacks Defense Strategies
Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks
Jun 3, 2026Bin Duan, Zeyu Bai, Guowei YangModel-Agnostic Defense Reparameterization
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
Jun 1, 2026Lichao Wang, Zhaoxing Ren, Tianzhuo Yang +4Large Language Model Safety Defense Strategies
THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
Jun 1, 2026Zhiqing Ma, Zhonghao Xu, Dong Yu +3Jailbreak Attacks Novel Jailbreak Method
CEAR: Certified Ensemble Adversarial Robustness in DNNs
May 31, 2026Daniel Sadig, Mohammadreza Maleki, Hamed Karimi +1Model-Agnostic Defense Ensemble
BraveGuard: From Open-World Threats to Safer Computer-Use Agents
May 31, 2026Yunhao Feng, Xiaohu Du, Xinhao Deng +13Defense Strategies Threat Models
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning
May 29, 2026Ziqing Yang, Rui Wen, Xinlei He +3Backdoor Attacks Model-Agnostic Defense
EvoDefense: Co-Evolving Black-Box Defense with Large Language Models
May 29, 2026Yu Li, Yuenan Hou, Yingmei Wei +2Language Model Evasion Attacks Private Pate-Style Defense
Quantum-Enhanced Adversarial Robustness in Artificial Intelligence
May 27, 2026Jaydip SenQuantum Machine Learning Quantum Computing
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data Selection
May 27, 2026Shuhao Chen, Weisen Jiang, Yeqi Gong +5Harmful Fine-Tuning Model-Agnostic Defense
Density-aware Sample-specific Attack
May 27, 2026Qiyuan Wang, Yao Li, Raymond K. W. WongBackdoor Attacks Model-Agnostic Defense
Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures
May 25, 2026Yuntao Wang, Jianle Ba, Han Liu +5Openclaw Security
Security in the Fine-Tuning Lifecycle of Large Language Models: Threats, Defenses,Evaluation, and Future Directions
May 24, 2026Wenjuan Li, Yitao Liu, Runze Chen +1Large Language Model Fine-Tuning Defense Strategies
Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks
May 22, 2026Vivek Dahiya, Sunny Nehra, Vipul Dholariya +2Vulnerability Detection & Repair Cybersecurity
What Does the Server See? Understanding Privacy Leakage from Large Language Models in Split Inference
May 22, 2026Mingyuan Fan, Yu Liu, Fuyi Wang +1Efficient Privacy Loss Model-Agnostic Defense
Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Floyd-Steinberg Dithering
May 21, 2026Yury Belousov, Brian Pulfer, Vitaliy Kinakh +1Vision Foundation Models Discrete Diffusion Model
Adversarial Trust Poisoning in Vehicular Collaborative Perception
May 21, 2026Yutong Liu, Chenyi Wang, Ming F. Li +1Collaborative Perception Model-Agnostic Defense
RADAR: Defending RAG Dynamically against Retrieval Corruption
May 21, 2026Ziyuan Chen, Yueming Lyu, Yi Liu +4Model-Agnostic Defense Radar
PocketAgents: A Manifest-Driven Library of Autonomous Defense Agents
May 20, 2026Sidnei Barbieri, Ágney Lopes Roth Ferraz, Lourenço Alves Pereira JúniorDefense Strategies Deception
Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
May 19, 2026Yasmine HayderKnowledge Graph Embeddings Knowledge Graphs
AI Agents May Always Fall for Prompt Injections
May 17, 2026Sahar Abdelnabi, Eugene BagdasarianIndirect Prompt Injection Artificial Intelligence Agents
One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries
May 14, 2026Itay Zloczower, Eyal Lenga, Gilad Gressel +1Harmful Fine-Tuning Model-Agnostic Defense
Model-Agnostic Lifelong LLM Safety via Externalized Attack-Defense Co-Evolution
May 13, 2026Xiaozhe Zhang, Chaozhuo Li, Hui Liu +4Large Language Model Safety Model-Agnostic Defense
Locking Pretrained Weights via Deep Low-Rank Residual Distillation
May 11, 2026Keitaro Sakamoto, Pierre Ablin, Federico Danieli +1Model-Agnostic Defense Model Weights
Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing
May 11, 2026Zheng Lin, Zhenxing Niu, Haoxuan Ji +1Large Language Model Jailbreaks Adversarial Jailbreaks
DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
May 11, 2026Chaeyoung Lee, Chaeri Jung, Seonghoon JeongModel-Agnostic Defense Attack Detection
Strategic commitments shape collective cybersecurity under AI inequality
May 10, 2026Adeela Bashir, Zia Ush Shamszaman, Zhao Song +2Cybersecurity Private Pate-Style Defense
Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking
May 9, 2026Zhida He, Xiaoyu Wen, Han Qi +7Jailbreak Evaluations Credit Assignment
The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play
May 8, 2026Gabriele La Malfa, Emanuele La Malfa, Saar Cohen +4Self-Play Artificial Intelligence Safety
Safety Anchor: Defending Harmful Fine-tuning via Geometric Bottlenecks
May 7, 2026Guoxin Lu, Letian Sha, Qing Wang +4Harmful Fine-Tuning Large Language Model Safety
One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue
May 7, 2026Xinjie Shen, Rongzhe Wei, Peizhi Niu +6Model-Agnostic Defense Malicious Code
Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand
May 6, 2026Christopher KochCybersecurity Artificial Intelligence Safety
MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents
May 5, 2026Ishrith GowdaDefense Strategies Anomaly Detection
Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense
May 4, 2026Kerri Prinos, Lilianne Brush, Cameron Denton +5Agentic Control Defense Strategies
Tenability and Weak Semantics: Modeling Non-uniform Defense -- Extended Version
May 3, 2026Uri Andrews, Luca San Mauro, John SpoerlAbstract Argumentation Defense Strategies
When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
May 1, 2026Lingxi Zhang, Guangtao Zheng, Hanjie ChenMulti-Agent Systems Model-Agnostic Defense
Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study
Apr 30, 2026Luyao Xu, Xiang ChenOpenclaw Defense Strategies
AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning
Apr 30, 2026Zehui Tang, Yuchen Liu, Feihu HuangFederated Learning Byzantine Attacks
AgentWard: A Lifecycle Security Architecture for Autonomous AI Agents
Apr 27, 2026Yixiang Zhang, Xinhao Deng, Jiaqing Wu +3Runtime Enforcement Artificial Intelligence Safety
Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents
Apr 27, 2026Jiaqi Li, Yang Zhao, Bin Sun +3Openclaw Defense Strategies
ID-Eraser: Proactive Defense Against Face Swapping via Identity Perturbation
Apr 23, 2026Junyan Luo, Peipeng Yu, Jianwei Fei +4Deepfake Detection Model-Agnostic Defense
CSC: Turning the Adversary's Poison against Itself
Apr 23, 2026Yuchen Shi, Xin Guo, Huajie Chen +3Backdoor Attacks Model-Agnostic Defense
PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
Apr 21, 2026Dazhuang Liu, Yanqi Qiao, Rui Wang +2Vision Transformer Backdoor Attacks
When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image Models
Apr 17, 2026Chaoshuo Zhang, Yibo Liang, Mengke Tian +7Model-Agnostic Defense Vulnerability Detection & Repair
NetForge RL: A Multi-Agent Simulation Environment for Cyber Defense with Durative Actions
Apr 10, 2026Igor JankowskiDefense Strategies Cybersecurity
DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering
Feb 22, 2026Yiran Qiao, Yiren Lu, Yunlai Zhou +43D Gaussian Splats 3D Gaussian
SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
Dec 20, 2025Scott ThorntonVulnerable Code Code Generation
Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety
Oct 18, 2025Vamshi Krishna Bonagiri, Ponnurangam Kumaragurum, Khanh Nguyen +1Large Language Model Agents Large Language Model Safety
Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
Aug 9, 2025Jinhwa Kim, Ian G. HarrisAdversarial Jailbreaks Model-Agnostic Defense
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Apr 2, 2025Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo +5Federated Learning Private Pate-Style Defense
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Oct 6, 2023Shanshan Han, Wenxuan Wu, Baturalp Buyukates +4Federated Learning Reconstruction-Based Anomaly Detection
Builder, Defender, Breaker: Measurable Independence and Bounded Autonomy When Generative Models Build, Defend and Test Software
Date pendingMohamed Chahine GhanemArtificial Intelligence Safety Security

Jun 5, 2026 · cs.CRJ/K move · Enter open · S save

SHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection Systems

Maryam Zaman, Muhammad Khuram Shahzad

School of Electrical Engineering and Computing(SEECS) · 2National University of Sciences and Technology, Islamabad, Pakistan

Adversarial attacks pose a serious and growing threat to Machine Learning (ML)-based Intrusion Detection Systems (IDS), where imperceptible perturbations to network flow features can systematically mislead classifiers into accepting malicious traffic as benign. The IDS-Anta framework partially addresses this through Z-score normalization, Singular Value Decomposition (SVD), and Multi-Armed Bandit (MAB) classifier selection with Thompson Sampling, yet its classifier pool lacks sufficient structural diversity for robust adversarial resistance. This work introduces IDS-Anta++, which incorporates XGBoost and LightGBM gradient boosting models into the ensemble and wraps the extended pool in a three-layer black-box defense: Isolation Forest anomaly screening, median feature smoothing, and six-way majority voting. Experiments conducted on CIC-IDS-2017, CEC-CIC-IDS-2018, and CIC-DDoS-2019 under both Fast Gradient Sign Method (FGSM) and Zeroth Order Optimization (ZOO) attacks confirm detection accuracy above 99% on clean data, with measurable robustness gains under adversarial conditions relative to the baseline IDS-Anta configuration.

Intrusion Detection Denial-Of-Service Attacks Defense Strategies Ensemble Random Forest

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