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Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security

https://doi.org/10.1145/3052973
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Recent advances in mobile touch screen security authentication methods: A systematic literature review
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Scalable and robust unsupervised android malware fingerprinting using community-based network partitioning
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Dynamic user-centric access control for detection of ransomware attacks
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Physical fault injection and side-channel attacks on mobile devices: A comprehensive analysis
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Ransomware: Recent advances, analysis, challenges and future research directions
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AntiViruses under the microscope: A hands-on perspective
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Towards an information-theoretic framework of intrusion detection for composed systems and robustness analyses
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Cognitively reconfigurable mimic-based heterogeneous password recovery system
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Survey on smart homes: Vulnerabilities, risks, and countermeasures
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On the vulnerability of anti-malware solutions to DNS attacks
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Ensemble transfer attack targeting text classification systems
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Transferable adversarial examples can efficiently fool topic models
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IFAttn: Binary code similarity analysis based on interpretable features with attention
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Black box attack and network intrusion detection using machine learning for malicious traffic
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Visually imperceptible adversarial patch attacks
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PISA: Pixel skipping-based attentional black-box adversarial attack
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Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning
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FaultMorse: An automated controlled-channel attack via longest recurring sequence
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The Threat of Offensive AI to Organizations
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BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention
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Audio adversarial detection through classification score on speech recognition systems
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A permission-carrying security policy and static enforcement for information flows in Android programs
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A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security
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Applying staged event-driven access control to combat ransomware
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Stealing and evading malware classifiers and antivirus at low false positive conditions
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Data Flooding against Ransomware: Concepts and Implementations
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A comprehensive review on deep learning algorithms: Security and privacy issues
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A two-stage model extraction attack on GANs with a small collected dataset
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MAlign: Explainable static raw-byte based malware family classification using sequence alignment
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RanSMAP: Open dataset of Ransomware Storage and Memory Access Patterns for creating deep learning based ransomware detectors
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RansoGuard: A RNN-based framework leveraging pre-attack sensitive APIs for early ransomware detection
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A comprehensive survey on deep learning based malware detection techniques
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On the feasibility of binary authorship characterization
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Attentional Feature Erase: Towards task-wise transferable adversarial attack on cloud vision APIs
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Face recognition: Past, present and future (a review)
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Adversarial training-based robust lifetime prediction system for power transformers
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HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection
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Boosting transferability of targeted adversarial examples with non-robust feature alignment
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Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
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Self-enhancing defense for protecting against model stealing attacks on deep learning systems
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Rethinking robustness: Robust adversarial distillation for practical black-box signal attack in intelligent fault diagnosis
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Evolutionary multi-task robust architecture search for network intrusion detection
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An effective automotive forensic technique utilizing various logs of Android-based In-vehicle infotainment systems
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“I wasn’t there”—Deniable, privacy-aware scheme for decentralized Location-based Services
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Transferable adversarial attack based on sensitive perturbation analysis in frequency domain
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Copyright protection framework for federated learning models against collusion attacks
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Weaponized AI for cyber attacks
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Plaintext recovery and tag guessing attacks on authenticated encryption algorithm COLM
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PROVE: Provable remote attestation for public verifiability
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Designing attribute-based verifiable data storage and retrieval scheme in cloud computing environment
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A comprehensive analysis combining structural features for detection of new ransomware families
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Lattice-based puncturable blind signature scheme: Enhancing privacy and security in large language models
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Information security breaches due to ransomware attacks - a systematic literature review
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Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions
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Distributed shielded execution for transmissible cyber threats analysis
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Causality-based accountability mechanisms for socio-technical systems
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An empirical study of configuration changes and adoption in Android apps
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Black-box adversarial sample generation based on differential evolution
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Policy-driven Data Sharing over Attribute-Based Encryption supporting Dual Membership
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Scalable Detection of Server-Side Polymorphic Malware
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Deep neural network models for computational histopathology: A survey
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Adversarial attack vulnerability of medical image analysis systems: Unexplored factors
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Secured miniaturized system-in-package contactless and passive authentication devices featuring NFC
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HARDeNN: Hardware-assisted attack-resilient deep neural network architectures
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Detecting adversarial manipulation using inductive Venn-ABERS predictors
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Improving robustness of deep neural networks via large-difference transformation
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Adversarial defense via self-orthogonal randomization super-network
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A comprehensive survey and taxonomy on privacy-preserving deep learning
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UniASM: Binary code similarity detection without fine-tuning
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A meta-survey of adversarial attacks against artificial intelligence algorithms, including diffusion models
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Robustifying models against adversarial attacks by Langevin dynamics
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Implicit adversarial data augmentation and robustness with Noise-based Learning
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Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
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Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization
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Hierarchical binding in convolutional neural networks: Making adversarial attacks geometrically challenging
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.10.007openalex-snapshot
Graph-based methods coupled with specific distributional distances for adversarial attack detection
inferred← citeshttps://doi.org/10.1016/j.newton.2025.100138openalex-snapshot
Prediction of weather and financial time-series data via a Hamiltonian-based filter-projection approach
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108102openalex-snapshot
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108279openalex-snapshot
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108301openalex-snapshot
Privacy-aware supervised classification: An informative subspace based multi-objective approach
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108728openalex-snapshot
Query-efficient decision-based attack via sampling distribution reshaping
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.108979openalex-snapshot
Adaptive momentum variance for attention-guided sparse adversarial attacks
inferred← citeshttps://doi.org/10.1016/j.patcog.2022.109182openalex-snapshot
Adversarial training with distribution normalization and margin balance
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.110066openalex-snapshot
Sequential Architecture-Agnostic Black-Box Attack Design and Analysis
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.03.011openalex-snapshot
Adversarial robustness via attention transfer
inferred← citeshttps://doi.org/10.1016/j.patrec.2022.01.023openalex-snapshot
Investigating strategies towards adversarially robust time series classification
inferred← citeshttps://doi.org/10.1016/j.patrec.2024.09.001openalex-snapshot
One-index vector quantization based adversarial attack on image classification
inferred← citeshttps://doi.org/10.1016/j.patrec.2025.02.028openalex-snapshot
Inter-separability and intra-concentration to enhance stochastic neural network adversarial robustness
inferred← citeshttps://doi.org/10.1016/j.preteyeres.2021.101034openalex-snapshot
Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice
inferred← citeshttps://doi.org/10.1016/j.procs.2023.08.174openalex-snapshot
Evaluating Robustness of Reconstruction Models with Adversarial Networks
inferred← citeshttps://doi.org/10.1016/j.sasc.2023.200050openalex-snapshot
Emerging challenges and perspectives in Deep Learning model security: A brief survey
inferred← citeshttps://doi.org/10.1016/j.sigpro.2022.108790openalex-snapshot
Coherent adversarial deepfake video generation
inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109816openalex-snapshot
Multifunctional adversarial examples: A novel mechanism for authenticatable privacy protection of images
inferred← citeshttps://doi.org/10.1016/j.sysarc.2023.102874openalex-snapshot
TBVPAKE: An efficient and provably secure verifier-based PAKE protocol for IoT applications
inferred← citeshttps://doi.org/10.1016/j.sysarc.2024.103082openalex-snapshot
VSPAKE: Provably secure verifier-based PAKE protocol for client/server model in TLS ciphersuite
inferred← citeshttps://doi.org/10.1016/j.tbench.2024.100163openalex-snapshot
BinCodex: A comprehensive and multi-level dataset for evaluating binary code similarity detection techniques
inferred← citeshttps://doi.org/10.1016/j.tcs.2019.05.046openalex-snapshot
A game-based approximate verification of deep neural networks with provable guarantees
inferred← citeshttps://doi.org/10.1016/j.tra.2021.04.022openalex-snapshot
A policy-based solution for the detection of colluding GPS-Spoofing attacks in FANETs
inferred← citeshttps://doi.org/10.1016/j.vehcom.2022.100470openalex-snapshot
Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots
inferred← citeshttps://doi.org/10.1016/j.watres.2025.123719openalex-snapshot
Breaking the flow and the bank: Stealthy cyberattacks on water network hydraulics
inferred← citeshttps://doi.org/10.1029/2023wr034827openalex-snapshot
Flood Risks of Cyber‐Physical Attacks in a Smart Storm Water System
inferred← citeshttps://doi.org/10.1051/0004-6361/202038691/pdfopenalex-snapshot
Image-quality assessment for full-disk solar observations with generative adversarial networks
inferred← citeshttps://doi.org/10.1117/12.2683207openalex-snapshot
ECOPY: Data-free model stealing for deep neural network
inferred← citeshttps://doi.org/10.1117/12.3025806openalex-snapshot
Malware feature selection and adversarial sample generation method based on reinforcement learning
inferred← citeshttps://doi.org/10.1117/12.3031913openalex-snapshot
A new zhoneypot defence for deep neural networks
inferred← citeshttps://doi.org/10.1137/21m1392966openalex-snapshot
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
inferred← citeshttps://doi.org/10.1145/3560884openalex-snapshot
A Survey of 3D Ear Recognition Techniques
inferred← citeshttps://doi.org/10.1145/3569936openalex-snapshot
DAISY: Dynamic-Analysis-Induced Source Discovery for Sensitive Data
inferred← citeshttps://doi.org/10.1145/3582016.3582066openalex-snapshot
Protect the System Call, Protect (Most of) the World with BASTION
inferred← citeshttps://doi.org/10.1145/3604611openalex-snapshot
Asteria-Pro: Enhancing Deep Learning-based Binary Code Similarity Detection by Incorporating Domain Knowledge
inferred← citeshttps://doi.org/10.1145/3634737.3657025openalex-snapshot
ESem: To Harden Process Synchronization for Servers
inferred← citeshttps://doi.org/10.1145/3658644.3690252openalex-snapshot
Protoss: Protocol for Tight Optimal Symmetric Security
inferred← citeshttps://doi.org/10.1145/3676641.3716026openalex-snapshot
Towards Sound Reassembly of Modern x86-64 Binaries
inferred← citeshttps://doi.org/10.1145/3678890.3678906openalex-snapshot
KGDist: A Prompt-Based Distillation Attack against LMs Augmented with Knowledge Graphs
inferred← citeshttps://doi.org/10.1145/3715725openalex-snapshot
Ransomware Detection through Temporal Correlation between Encryption and I/O Behavior
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