Latest Adversarial Robustness Research Papers
The newest Adversarial Robustness papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Adversarial Robustness so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.
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- Contrastive Learning for Phishing Detection in Text-Based EnvironmentsThomas Mulaisho, Emmanuel Michael, Sanket Kanekar, Qiunan Zhang et al. · Journal of the Association ... · Aug 15, 2026
Phishing remains one of the most prevalent and effective forms of social engineering attacks in today’s online environment. Attackers typically impersonate trusted individuals or organizations to deceive users and gain access to sensitive i…
- Medusa:Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented GenerationYingjia Shang, Yi; id_orcid 0000-0002-0811-6150 Liu, H Wang, Feng Li et al. · CityU Scholars · Aug 1, 2026
With the rapid advancement of retrieval-augmented vision-language models, multimodal medical retrieval-augmented generation (MMed-RAG) systems are increasingly adopted in clinical decision support. These systems enhance medical applications…
- DPSF: A Dynamic Patch Shape Selection Framework for Cross-Model Transferable Adversarial AttacksHan Zhang, Boqi Huang, Bingshu Wang, Laixian Zhang et al. · Remote Sensing · Jul 22, 2026
Adversarial patch attacks are core tools to evaluate adversarial robustness in remote sensing image classification, yet existing methods with fixed patch shapes and single-model optimization yield poor cross-architecture black-box transfera…
- Reliability-aware adaptive multimodal fusion framework for robust continuous authentication under non-stationary sensing conditionsS. C. Rajkumar, D. Yuvasini · Pattern Analysis and Applic... · Jul 22, 2026
- RakshNet-PhishGuard: A Multi-Layer Heuristic and Machine-Learning Framework for Real-Time Phishing URL DetectionPalla Srinivas, Pravitha R Prasad · International Journal for R... · Jul 22, 2026
Phishing remains one of the most prevalent and financially damaging cyberattack vectors, with attackers routinely disguising malicious links through typosquatting, homograph substitution, brand impersonation, and abuse of free top-level dom…
- Robust Phishing URL Detection using Character-Level Convolutional Neural NetworksEr. Akshat Vedvias, A K Sharma · Zenodo (CERN European Organ... · Jul 22, 2026
Phishing remains a major cybersecurity problem with the sophistication of attackers using malicious links to trick users and steal sensitive information. Current blacklist based detection methods are not effective in detecting new phishing …
- Adversarial collapse to robust recovery: assessing the impact of robustness and adversarial retraining on Android malware detectionMuhammad Qasim, Muhammad Adnan Aziz, Muhammad Umair, Nauman Mazhar et al. · Journal of Cyber Security T... · Jul 22, 2026
Machine learning (ML) and deep learning (DL) models are widely used for Android malware detection because they can learn discriminative patterns from static features such as permissions, API calls, and manifest attributes. However, high acc…
- Source-free domain adaptation via robust pseudo-label optimization for cross-domain wind turbine bearing diagnosisHaoyang Mao, Yiming Zhang, Weizheng Zhao, Fang Liu et al. · Measurement Science and Tec... · Jul 22, 2026
Abstract Newly built wind farms often face three practical barriers for bearing fault diagnosis: limited fault samples, expensive labeling, and restricted access to historical source-domain data due to privacy and security requirements. Thi…
- Robust Phishing URL Detection using Character-Level Convolutional Neural NetworksEr. Akshat Vedvias, A K Sharma · Zenodo (CERN European Organ... · Jul 22, 2026
Phishing remains a major cybersecurity problem with the sophistication of attackers using malicious links to trick users and steal sensitive information. Current blacklist based detection methods are not effective in detecting new phishing …
- Adversarial red teaming and imbalance correction in heterogeneous NIDS: A class-specific adaptive GAN frameworkAntonio Lara-Gutierrez, Carmen Fernández-Gago, José A. Onieva · Journal of Information Secu... · Jul 21, 2026
Modern network infrastructures face a structural long-tail imbalance where malicious events are statistically negligible against benign traffic. This bias causes Machine Learning-based Network Intrusion Detection Systems (NIDS) to systemati…
- Morphology-preserving transfer-guided GAN with adaptive discriminative loss for robust and imbalanced ECG arrhythmia detectionMajid Sepahvand, Beneen Dourgham Karim Al-Harizi, Maytham N. Meqdad · Computers in Biology and Me... · Jul 21, 2026
- Entropy-based detection of denial of wallet attacks in serverless architecturesJosé Manuel Ortega Candel, Francisco José Mora Gimeno, Higinio Mora · International Journal of In... · Jul 21, 2026
Abstract In serverless architectures, applications are executed in environments where resources are dynamically allocated according to demand. Instead of having dedicated servers, functions are executed in response to specific events, allow…
- CERO: Cascade-Emergency Resilient Offloading for IIoT Edge Computing via Adversarial Deep Reinforcement LearningZi Wang, Yu HR, Hongfei Bai, Dong Li · Computers · Jul 21, 2026
Industrial Internet of Things (IIoT) edge computing supports latency-sensitive services through task offloading to distributed edge resources. However, large-scale emergencies such as node failures and traffic surges may trigger cascading f…
- Quantum Key Distribution for Secure IoT Communication: Recent Advances, Challenges, and Future PerspectivesSivasubramanyam Medasani, Akhil Goutham K, Bhaskar S, H Vishnu · IJARCCE · Jul 20, 2026
The rapid proliferation of Internet of Things devices (IoT) across healthcare, smart homes, transportation, and industrial automation has led to an unprecedented exchange of sensitive data over wireless channels, exposing these networks to …
- Beyond the Lookup: Simulating Realistic User Uncertainty for the Evaluation of Conversational Agentic RecommendersAlessandro Petruzzelli, Alessandro Francesco Maria Martina, Cataldo Musto, Marco de Gemmis et al. · Information Systems Frontiers · Jul 20, 2026
Abstract The evaluation of Conversational Recommender Systems necessitates robust protocols to measure utility and user satisfaction. While human-in-the-loop testing remains the gold standard, scalability and reproducibility constraints hav…
- Explainable Robust Cloud Intrusion Detection Against Adversarial Evasion Using SHAP-Guided Feature ReweightingHugo Laurent, Paula Silva · Jisuanji shenghuojia. · Jul 20, 2026
Cloud intrusion detection systems increasingly rely on machine learning classifiers trained on flow-level telemetry. Such classifiers can be accurate on clean traffic but fragile under adversarial evasion, because attackers may adjust mutab…
- Trustworthy AI for ECG Anomaly Detection through Adversarially Robust and Explainable Neural Network ModelsNeha Ann Binoy · OpenAlex · Jul 19, 2026
- Mitigating Label-Flipping Threats in Deep Algorithmic Trading Systems via InfoNCE Contrastive RegularizatioTanvir Saiful Islam · Zenodo (CERN European Organ... · Jul 19, 2026
Adversarial data corruption poses severe systemic financial risks to deep learning-based automated trading architectures operating within high-frequency limit order books (LOB). In this paper, we expose the inherent limitations of deep long…
- Mitigating Label-Flipping Threats in Deep Algorithmic Trading Systems via InfoNCE Contrastive RegularizatioTanvir Saiful Islam · Zenodo (CERN European Organ... · Jul 19, 2026
Adversarial data corruption poses severe systemic financial risks to deep learning-based automated trading architectures operating within high-frequency limit order books (LOB). In this paper, we expose the inherent limitations of deep long…
- Acoustic and vibration side channel analysis on post-quantum cryptography using image-based deep learningAbdul Haris Muhammad, Gamaria Mandar, Adelina Ibrahim · TELKOMNIKA (Telecommunicati... · Jul 19, 2026
Post-quantum cryptography (PQC) is designed to resist quantum-era attacks; however, practical implementations remain vulnerable to physical side channel leakage. This work proposes an image-based acoustic–vibration side-channel analysis fra…
- Geometric Structure in Sperm Whale Communication: Hyperbolic Embeddings, Topological Analysis, and Adversarial RobustnessAndrew Bond · Zenodo (CERN European Organ... · Jul 19, 2026
Recent work has revealed that sperm whale ( ) codas possess a combinatorial phonetic structure comparable in complexity to human phonological systems. We apply differential geometry, algebraic topology, and adversarial robustness testing to…
- Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoringUmar Hayat Khan, Rahim Khan, Tahani Alsaedi, Samia Allaoua Chelloug et al. · Scientific Reports · Jul 19, 2026
Resource-constrained medical sensing devices are increasingly expected to support local intelligence, privacy-preserving collaboration, and secure communication in Internet of Medical Things (IoMT) environments. However, deploying federated…
- Quantum-Inspired Thermal Equilibrium: Integration of Collective Dynamics into Real-Time Stabilization of Magnetically Confined Fusion Plasmas — Extended Edition: Full-Pulse Operation and Hardware-Bounded Adversarial Stress Benchmark on TORAX 1.4, Hardware-in-the-Loop on Three Microcontroller ISAs, and a Second Machine: the GOLEM Tokamak from Public Data (Validated One-Parameter TORAX Model, 500 Blind-Predicted Shots, Chip-in-the-Loop Shot-to-Shot Campaigns)Bernd Westrick · Zenodo (CERN European Organ... · Jul 19, 2026
2026-07-19 — Second-machine extension of the deposit: the GOLEM tokamak (CTU Prague, R = 0.4 m, a = 0.085 m, Bt < 0.6 T, ohmic, ~15 ms discharges — the only tokamak with fully open per-shot data publication) is studied entirely from its pub…
- Geometric Structure in Sperm Whale Communication: Hyperbolic Embeddings, Topological Analysis, and Adversarial RobustnessAndrew Bond · Zenodo (CERN European Organ... · Jul 19, 2026
Recent work has revealed that sperm whale ( ) codas possess a combinatorial phonetic structure comparable in complexity to human phonological systems. We apply differential geometry, algebraic topology, and adversarial robustness testing to…
- Adversarial Robustness of Phishing Email Detection: A Comparative Study of TF-IDF + Logistic Regression and Fine-Tuned DistilBERTTanveer Ahmed, Seyedali Pourmoafi · OpenAlex · Jul 18, 2026
- Machine learning approaches for biomechanical and bioelectrical regulation in developmental tissue engineeringMiriam Filippi, Robert K. Katzschmann · Bio-Design and Manufacturing · Jul 18, 2026
Abstract Developmental tissue engineering is increasingly guided by the principles of morphogenesis, cellular self-organization, and dynamic microenvironmental regulation, moving beyond static scaffold design and towards adaptive, developme…
- Data augmentation for drive-by bridge damage detectionYifu Lan, Roughan & O’Donovan, Robert Corbally, European Commission et al. · e-Journal of Nondestructive... · Jul 17, 2026
Drive-by bridge health monitoring provides a low-cost means of assessing bridge integrity through vehicle-mounted sensors. Yet, its effectiveness is limited by data scarcity and the high noise of field measurements. This study investigates …
- Adversarial Robustness of Machine Learning-based Fraud Detection Systems: An Empirical Evaluation of Attack Impact and Mitigation in Fintech EnvironmentsOlolade Zainab Adesokan, Abiola Omolola Bamsa, Onyinye Obioha-Val, Cornelia Ifeoma Ejoh et al. · Journal of Engineering Rese... · Jul 17, 2026
This study evaluated the adversarial robustness of machine learning-based fraud detection systems by comparing classifier vulnerability profiles and assessing adversarial training as a mitigation strategy. Using the IEEE-CIS Fraud Detection…
- Quantum-Inspired Thermal Equilibrium: Integration of Collective Dynamics into Real-Time Stabilization of Magnetically Confined Fusion Plasmas — Extended Edition: Full-Pulse Operation and Hardware-Bounded Adversarial Stress Benchmark on TORAX 1.4, Hardware-in-the-Loop on Three Microcontroller ISAsBernd Westrick · Zenodo (CERN European Organ... · Jul 17, 2026
2026-07-17 — Endurance and statistics extension of the hardware-bounded adversarial full-pulse study (chapter 31). Two studies on the same physical 2 EUR ESP32-C3 (RISC-V) chip, blend controller, criteria generation v2. Study A, single-seed…
- Adversarial debiasing for age-equitable diabetes prediction: performance–fairness trade-offs and partition dependency in machine learningVinod Kumar Yata, Sravanthi Jena, Meera Indracanti, Shivaprasad Chitta et al. · Frontiers in Digital Health · Jul 17, 2026
Background Machine learning models used for diabetes risk prediction may encode age-related biases that reduce diagnostic accuracy for specific demographic groups. Adversarial debiasing with a gradient reversal layer (GRL) offers a theoreti…