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Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

https://doi.org/10.1109/cvpr46437.2021.01167

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58548-8_1openalex-snapshot

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

inferredcites →https://doi.org/10.1007/978-3-030-58568-6_2openalex-snapshot

SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing

inferredcites →https://doi.org/10.1007/978-3-030-58574-7_41openalex-snapshot

PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning

inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-snapshot

FaceNet: A unified embedding for face recognition and clustering

inferredcites →https://doi.org/10.1109/cvpr.2018.00552openalex-snapshot

CosFace: Large Margin Cosine Loss for Deep Face Recognition

inferredcites →https://doi.org/10.1109/cvpr.2018.00957openalex-snapshot

Boosting Adversarial Attacks with Momentum

inferredcites →https://doi.org/10.1109/cvpr.2019.00284openalex-snapshot

Improving Transferability of Adversarial Examples With Input Diversity

inferredcites →https://doi.org/10.1109/cvpr.2019.00444openalex-snapshot

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot

A Style-Based Generator Architecture for Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00482openalex-snapshot

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00790openalex-snapshot

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00040openalex-snapshot

Benchmarking Adversarial Robustness on Image Classification

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00813openalex-snapshot

Analyzing and Improving the Image Quality of StyleGAN

inferredcites →https://doi.org/10.1109/iccv.2019.00453openalex-snapshot

Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

inferredcites →https://doi.org/10.1145/2976749.2978392openalex-snapshot

Accessorize to a Crime

inferredcites →https://doi.org/10.1609/aaai.v33i01.3301742openalex-snapshot

AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks

inferredcites →https://doi.org/10.24963/ijcai.2018/543openalex-snapshot

Generating Adversarial Examples with Adversarial Networks

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-snapshot

Intriguing properties of neural networks

inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot

Explaining and Harnessing Adversarial Examples

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1707.07397openalex-snapshot

Synthesizing Robust Adversarial Examples

inferredcites →https://doi.org/10.48550/arxiv.1710.11342openalex-snapshot

Generating Natural Adversarial Examples

inferredcites →https://doi.org/10.48550/arxiv.1805.07894openalex-snapshot

Constructing Unrestricted Adversarial Examples with Generative Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Alternating Minimization Adversarial Patch

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Nerftap: Enhancing Transferability of Adversarial Patches on Face Recognition Using Neural Radiance Fields

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Loss‐Guided Dynamic Step Adversarial Attack Algorithm for Network Intrusion Detection Systems

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Enhancing Transferability of Adversarial Examples with Spatial Momentum

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Detecting and Recovering Sequential DeepFake Manipulation

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Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors

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Transferable Adversarial Patches with Reinforcement Learning Across Ensemble Models

inferred← citeshttps://doi.org/10.1007/978-3-032-31397-3_12openalex-snapshot

Beyond Texture: Advanced Facial Privacy Protection via Hierarchical Diffusion Autoencoder

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Imperceptible Face Forgery Attack via Adversarial Semantic Mask

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ADMMOA: Attribute-Driven Multimodal Optimization for Face Recognition Adversarial Attacks

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Improving Transferbility of Adversarial Attack on Face Recognition with Feature Attention

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Recognize Me If You Can: Two-stream Adversarial Transfer for Facial Privacy Protection using Fine-grained Makeup

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AA3D: attacking embodied object navigation with viewpoint-robust 3D adversarial examples

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inferred← citeshttps://doi.org/10.1007/s11263-024-02177-6openalex-snapshot

Face3DAdv: Exploiting Robust Adversarial 3D Patches on Physical Face Recognition

inferred← citeshttps://doi.org/10.1007/s11263-025-02631-zopenalex-snapshot

Proactive Schemes: A Survey of Adversarial Attacks for Social Good

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SC-PCA: Shape Constraint Physical Camouflage Attack Against Vehicle Detection

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Adversarial attack method based on enhanced spatial momentum

inferred← citeshttps://doi.org/10.1007/s44196-023-00376-6openalex-snapshot

Semantic Adversarial Attacks on Face Recognition Through Significant Attributes

inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110777openalex-snapshot

MISPSO-Attack: An efficient adversarial watermarking attack based on multiple initial solution particle swarm optimization

inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111778openalex-snapshot

Adversarial sample attacks algorithm based on cycle-consistent generative networks

inferred← citeshttps://doi.org/10.1016/j.asoc.2025.112823openalex-snapshot

Hierarchical feature transformation attack: Generate transferable adversarial examples for face recognition

inferred← citeshttps://doi.org/10.1016/j.future.2022.05.014openalex-snapshot

A survey of human-in-the-loop for machine learning

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116626openalex-snapshot

Adaptive adversarial interpolation for diffusion-based facial privacy protection

inferred← citeshttps://doi.org/10.1016/j.neucom.2022.10.046openalex-snapshot

Adversarial examples based on object detection tasks: A survey

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127517openalex-snapshot

EAP: An effective black-box impersonation adversarial patch attack method on face recognition in the physical world

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128915openalex-snapshot

Fooling human detectors via robust and visually natural adversarial patches

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130614openalex-snapshot

Imperceptible diffusion modification for facial privacy protection

inferred← citeshttps://doi.org/10.1016/j.neunet.2023.06.006openalex-snapshot

Enhanced covertness class discriminative universal adversarial perturbations

inferred← citeshttps://doi.org/10.1016/j.patcog.2022.109009openalex-snapshot

Robust Physical-World Attacks on Face Recognition

inferred← citeshttps://doi.org/10.1016/j.patcog.2022.109064openalex-snapshot

ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110915openalex-snapshot

RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on face recognition

inferred← citeshttps://doi.org/10.1016/j.visinf.2025.100267openalex-snapshot

Attribute guided adversarial editing for face privacy protection

inferred← citeshttps://doi.org/10.1109/access.2021.3127960openalex-snapshot

Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey

inferred← citeshttps://doi.org/10.1109/access.2023.3307132openalex-snapshot

Adv-Eye: A Transfer-Based Natural Eye Makeup Attack on Face Recognition

inferred← citeshttps://doi.org/10.1109/access.2023.3314669openalex-snapshot

Enhancing Black-Box Attacks With Self-Supervised Features and Luminance-Aware Visual Model

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Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook

inferred← citeshttps://doi.org/10.1109/aiita69518.2026.11567174openalex-snapshot

Diffusion-Based Adversarial Example Generation for Facial Privacy Protection

inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020849openalex-snapshot

RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01459openalex-snapshot

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00401openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01971openalex-snapshot

Discrete Point-Wise Attack is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01973openalex-snapshot

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02359openalex-snapshot

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02366openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02321openalex-snapshot

DiffAM: Diffusion-Based Adversarial Makeup Transfer for Facial Privacy Protection

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02332openalex-snapshot

Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training

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ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector

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Adversarial Identity Injection for Semantic Face Image Synthesis

inferred← citeshttps://doi.org/10.1109/dicta68720.2025.11302421openalex-snapshot

Investigating Adversarial Robustness Against Preprocessing Used in Blackbox Face Recognition

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A Black-box based Attack Generation Approach to Create the Transferable Patch Attack

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PatchSegDet: Attack-Agnostic Detection of Physical Adversarial Patches in Face Recognition Systems

inferred← citeshttps://doi.org/10.1109/ijcb57857.2023.10449094openalex-snapshot

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Multi-attribute Semantic Adversarial Attack Based on Cross-layer Interpolation for Face Recognition

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inferred← citeshttps://doi.org/10.1109/nnice64954.2025.11063704openalex-snapshot

Face Recognition Defense Based on Local Disturbance Removal

inferred← citeshttps://doi.org/10.1109/satml64287.2025.00049openalex-snapshot

Reliable Evaluation of Adversarial Transferability

inferred← citeshttps://doi.org/10.1109/spw63631.2024.00035openalex-snapshot

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PSO-Based Closed Box Adversarial Patch Attack Against Face Recognition

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inferred← citeshttps://doi.org/10.1109/tifs.2024.3380848openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tifs.2024.3402167openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tifs.2025.3574956openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tmm.2023.3330089openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tpami.2023.3290175openalex-snapshot

3D-Aware Adversarial Makeup Generation for Facial Privacy Protection

inferred← citeshttps://doi.org/10.1109/tpami.2024.3367773openalex-snapshot

Adaptive Perturbation for Adversarial Attack

inferred← citeshttps://doi.org/10.1109/tpami.2024.3430860openalex-snapshot

Physical Adversarial Attack Meets Computer Vision: A Decade Survey

inferred← citeshttps://doi.org/10.1109/tpami.2024.3522994openalex-snapshot

Natural Adversarial Mask for Face Identity Protection in Physical World

inferred← citeshttps://doi.org/10.1109/tpami.2025.3585726openalex-snapshot

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments

inferred← citeshttps://doi.org/10.1109/tpami.2025.3596462openalex-snapshot

Real-World Adversarial Defense Against Patch Attacks Based on Diffusion Model

inferred← citeshttps://doi.org/10.1109/tpami.2026.3664842openalex-snapshot

AdvDiffusion: Adversarial Patches Generation for Face Recognition With High Transferability in Physical Domain

inferred← citeshttps://doi.org/10.1109/tpami.2026.3718681openalex-snapshot

Face De-Identification: A Domain-Centric Survey From Capture to Processing

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Scenedoor: An Environmental Backdoor Attack for Face Recognition

inferred← citeshttps://doi.org/10.1145/3485447.3512256openalex-snapshot

Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition

inferred← citeshttps://doi.org/10.1145/3636551openalex-snapshot

A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial Attacks

inferred← citeshttps://doi.org/10.1145/3658644.3670382openalex-snapshot

The Invisible Polyjuice Potion: an Effective Physical Adversarial Attack against Face Recognition

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Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines

inferred← citeshttps://doi.org/10.1145/3664647.3681440openalex-snapshot

Rethinking Impersonation and Dodging Attacks on Face Recognition Systems

inferred← citeshttps://doi.org/10.1145/3719027.3744867openalex-snapshot

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy

inferred← citeshttps://doi.org/10.1145/3731715.3733425openalex-snapshot

SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models

inferred← citeshttps://doi.org/10.1145/3746027.3755344openalex-snapshot

SCOL: Style Code Orchestration in Latent Space for Proactive Face-Swapping Defense

inferred← citeshttps://doi.org/10.1145/3793659openalex-snapshot

Visual Adversarial Attacks and Defenses in the Physical World: A Survey

inferred← citeshttps://doi.org/10.11591/ijeecs.v32.i1.pp494-505openalex-snapshot

Medical variational autoencoder and generative adversarial network for medical imaging

inferred← citeshttps://doi.org/10.1609/aaai.v36i1.19936openalex-snapshot

Learning to Learn Transferable Attack

inferred← citeshttps://doi.org/10.1609/aaai.v38i4.28147openalex-snapshot

Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2459893/v1openalex-snapshot

A Survey on Physical Adversarial Attack in Computer Vision

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Data Generation Using Generative Adversarial Network with Twin Normalization

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An Intelligent Secure Adversarial Examples Detection Scheme in Heterogeneous Complex Environments

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A Momentum-Based Local Face Adversarial Example Generation Algorithm

inferred← citeshttps://doi.org/10.3390/books978-3-0365-8265-8openalex-snapshot

AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection

inferred← citeshttps://doi.org/10.3390/e25020215openalex-snapshot

ELAA: An Ensemble-Learning-Based Adversarial Attack Targeting Image-Classification Model

inferred← citeshttps://doi.org/10.3390/electronics12030767openalex-snapshot

Promoting Adversarial Transferability via Dual-Sampling Variance Aggregation and Feature Heterogeneity Attacks

inferred← citeshttps://doi.org/10.3390/electronics12040816openalex-snapshot

ADSAttack: An Adversarial Attack Algorithm via Searching Adversarial Distribution in Latent Space

inferred← citeshttps://doi.org/10.3390/electronics12244944openalex-snapshot

EEG Topography Amplification Using FastGAN-ASP Method

inferred← citeshttps://doi.org/10.3390/electronics13132566openalex-snapshot

Advances in Brain-Inspired Deep Neural Networks for Adversarial Defense

inferred← citeshttps://doi.org/10.3390/jimaging11070241openalex-snapshot

A Self-Supervised Adversarial Deblurring Face Recognition Network for Edge Devices

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Enhancing Autonomous Driving: A Novel Approach of Mixed Attack and Physical Defense Strategies

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