Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Not on the map. Why?
Abstract (arXiv)
We propose a versatile framework based on random search, Sparse-RS, for score-based sparse targeted and untargeted attacks in the black-box setting. Sparse-RS does not rely on substitute models and achieves state-of-the-art success rate and query efficiency for multiple sparse attack models: l0-bounded perturbations, adversarial patches, and adversarial frames. The l0-version of untargeted Sparse-RS outperforms all black-box and even all white-box attacks for different models on MNIST, CIFAR-10, and ImageNet. Moreover, our untargeted Sparse-RS achieves very high success rates even for the challenging settings of 20×20 adversarial patches and 2-pixel wide adversarial frames for 224×224 images. Finally, we show that Sparse-RS can be applied to generate targeted universal adversarial patches where it significantly outperforms the existing approaches. The code of our framework is available at https://github.com/fra31/sparse-rs.
Key facts. Cited by 65 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jun 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 12; 2022: 10; 2023: 10; 2024: 15; 2025: 12; 2026: 6.
65 papers.
Sort:
By area:
- 2024Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attackscited by 450
- 2021On Guaranteed Optimal Robust Explanations for NLP Modelscited by 54
- 2021Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spacescited by 51
- 2023Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMscited by 26
- 2021Efficient Certified Defenses Against Patch Attacks on Image Classifierscited by 23
- 2021Adversarial Robustness against Multiple and Single lp-Threat Models via Quick Fine-Tuning of Robust Classifierscited by 23
- 2021ML Attack Models: Adversarial Attacks and Data Poisoning Attackscited by 23
- 2022Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustnesscited by 23
- 2023Efficient Decision-based Black-box Patch Attacks on Video Recognitioncited by 21
- 2024Transferable Adversarial Attacks on SAM and Its Downstream Modelscited by 20
- 2021Meta Adversarial Training against Universal Patchescited by 19
- 2023Query-Efficient Decision-based Black-Box Patch Attackcited by 19
38 more
- 2023A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attackscited by 19
- 2022Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Surveycited by 17
- 2022Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defensecited by 14
- 2021EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detectioncited by 13
- 2023Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Modelscited by 12
- 2021Adversarial Token Attacks on Vision Transformerscited by 11
- 2024Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimizationcited by 11
- 2021Transferable Sparse Adversarial Attackcited by 9
- 2025Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradientscited by 9
- 2021Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attackscited by 7
- 2024σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examplescited by 7
- 2024BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attackcited by 7
- 2023SoK: Pitfalls in Evaluating Black-Box Attackscited by 6
- 2023LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfercited by 6
- 2021Robust Classification Under ℓ0 Attack for the Gaussian Mixture Modelcited by 5
- 2022Adversarial Scratches: Deployable Attacks to CNN Classifierscited by 5
- 2023Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectorscited by 5
- 2023GSE: Group-wise Sparse and Explainable Adversarial Attackscited by 5
- 2024Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metricscited by 5
- 2022On the interplay of adversarial robustness and architecture components: patches, convolution and attentioncited by 4
- 2024Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generationcited by 4
- 2022LP-BFGS attack: An adversarial attack based on the Hessian with limited pixelscited by 3
- 2024BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Taskscited by 3
- 2024Query-Efficient Video Adversarial Attack with Stylized Logo on Service Computingcited by 3
- 2025LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attackscited by 3
- 2022Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detectioncited by 2
- 2024STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenariocited by 2
- 2024Boosting Few-Pixel Robustness Verification via Covering Verification Designscited by 2
- 2024Query-Efficient Hard-Label Black-Box Attack against Vision Transformerscited by 2
- 2025GSBAK: top-K Geometric Score-based Black-box Attackcited by 2
- 2025CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coveragecited by 2
- 2021LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attackcited by 1
- 2022Efficient and Robust Classification for Sparse Attackscited by 1
- 2024Sparse and Transferable Universal Singular Vectors Attackcited by 1
- 2024RAMP: Boosting Adversarial Robustness Against Multiple lp Perturbations for Universal Robustnesscited by 1
- 2025Towards Interpretable Adversarial Examples via Sparse Adversarial Attackcited by 1
- 2025Tight Robustness Certification Through the Convex Hull of ℓ0 Attackscited by 1
- 2025Power Homotopy for Zeroth-Order Non-Convex Optimizationscited by 1
50 most cited of 65 All 65 (JSON)
- 2026Don't Waste the Noise: Importance-Guided Perturbation Allocation under Joint Global and Local Constraints1 Oct 2026
- 2026A Comprehensive Review of One-Pixel Attack: Research Status, Taxonomy, Applications, Regulation Policy and Future Directions9 Sep 2026
- 2026Uncovering the Limits of Proof Sharing for Neural Networks19 Aug 2026
- 2026SegPAR: Class-Centric Decision-Based Sparse Attack for Semantic Segmentation11 Aug 2026
- 2026Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection9 Apr 2026
- 2026Contract And Conquer: How to Provably Compute Adversarial Examples for a Black-Box Model?11 Mar 2026
- 2025Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas29 Nov 2025
- 2025Power Homotopy for Zeroth-Order Non-Convex Optimizations17 Nov 2025
- 2025Tight Robustness Certification Through the Convex Hull of ℓ0 Attacks13 Nov 2025
- 2025CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage13 Nov 2025
- 2025FeatureFool: Zero-Query Fooling of Video Models via Feature Map21 Oct 2025
- 2025Towards Interpretable Adversarial Examples via Sparse Adversarial Attack8 Jun 2025
38 more
- 2025How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World3 Jun 2025
- 2025Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models22 Apr 2025
- 2025GSBAK: top-K Geometric Score-based Black-box Attack17 Mar 2025
- 2025Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients5 Mar 2025
- 2025Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing28 Feb 2025
- 2025LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks27 Feb 2025
- 2024Transferable Adversarial Attacks on SAM and Its Downstream Models26 Oct 2024
- 2024Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization26 Sep 2024
- 2024Query-Efficient Video Adversarial Attack with Stylized Logo on Service Computing22 Aug 2024
- 2024Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics2 Aug 2024
- 2024Query-Efficient Hard-Label Black-Box Attack against Vision Transformers29 Jun 2024
- 2024Boosting Few-Pixel Robustness Verification via Covering Verification Designs17 May 2024
- 2024Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generation8 May 2024
- 2024BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack8 Apr 2024
- 2024Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks2 Apr 2024
- 2024BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks1 Apr 2024
- 2024STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario30 Mar 2024
- 2024RAMP: Boosting Adversarial Robustness Against Multiple lp Perturbations for Universal Robustness9 Feb 2024
- 2024Generalization Properties of Adversarial Training for ℓ0-Bounded Adversarial Attacks5 Feb 2024
- 2024σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples2 Feb 2024
- 2024Sparse and Transferable Universal Singular Vectors Attack25 Jan 2024
- 2023LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer15 Dec 2023
- 2023Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMs8 Dec 2023
- 2023GSE: Group-wise Sparse and Explainable Adversarial Attacks29 Nov 2023
- 2023SoK: Pitfalls in Evaluating Black-Box Attacks26 Oct 2023
- 2023A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks1 Oct 2023
- 2023Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations11 Sep 2023
- 2023Query-Efficient Decision-based Black-Box Patch Attack2 Jul 2023
- 2023Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models22 Jun 2023
- 2023Efficient Decision-based Black-box Patch Attacks on Video Recognition21 Mar 2023
- 2023Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors7 Mar 2023
- 2022LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels26 Oct 2022
- 2022On the interplay of adversarial robustness and architecture components: patches, convolution and attention14 Sep 2022
- 2022Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense11 Sep 2022
- 2022Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey16 Jun 2022
- 2022Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection30 May 2022
- 2022Adversarial Scratches: Deployable Attacks to CNN Classifiers20 Apr 2022
- 2022Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness25 Mar 2022
50 newest of 65 All 65 (JSON)
- 2021On Guaranteed Optimal Robust Explanations for NLP Modelscited by 54
- 2021Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spacescited by 51
- 2023Make Them Spill the Beans! Coercive Knowledge Extraction from (Production) LLMscited by 26
- 2021Efficient Certified Defenses Against Patch Attacks on Image Classifierscited by 23
- 2021Adversarial Robustness against Multiple and Single lp-Threat Models via Quick Fine-Tuning of Robust Classifierscited by 23
- 2022Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustnesscited by 23
- 2023Efficient Decision-based Black-box Patch Attacks on Video Recognitioncited by 21
- 2024Transferable Adversarial Attacks on SAM and Its Downstream Modelscited by 20
- 2021Meta Adversarial Training against Universal Patchescited by 19
- 2023Query-Efficient Decision-based Black-Box Patch Attackcited by 19
- 2023A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attackscited by 19
- 2022Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Surveycited by 17
12 most cited of 62 All 62 (JSON)
- 2026Don't Waste the Noise: Importance-Guided Perturbation Allocation under Joint Global and Local Constraints1 Oct 2026
- 2026A Comprehensive Review of One-Pixel Attack: Research Status, Taxonomy, Applications, Regulation Policy and Future Directions9 Sep 2026
- 2026Uncovering the Limits of Proof Sharing for Neural Networks19 Aug 2026
- 2026SegPAR: Class-Centric Decision-Based Sparse Attack for Semantic Segmentation11 Aug 2026
- 2026Contract And Conquer: How to Provably Compute Adversarial Examples for a Black-Box Model?11 Mar 2026
- 2025Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas29 Nov 2025
- 2025Power Homotopy for Zeroth-Order Non-Convex Optimizations17 Nov 2025
- 2025Tight Robustness Certification Through the Convex Hull of ℓ0 Attacks13 Nov 2025
- 2025CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage13 Nov 2025
- 2025FeatureFool: Zero-Query Fooling of Video Models via Feature Map21 Oct 2025
- 2025Towards Interpretable Adversarial Examples via Sparse Adversarial Attack8 Jun 2025
- 2025How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World3 Jun 2025
12 newest of 62 All 62 (JSON)