Copertina

Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bai, Yatong, Anderson, Brendon G., Kim, Aerin, Sojoudi, Somayeh
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Cryptography and Security Computer Vision and Pattern Recognition 68T07
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
di: Bai, Yatong, et al.
Pubblicazione: (2023)

MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
di: Bai, Yatong, et al.
Pubblicazione: (2024)

Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field
di: Tang, Keke, et al.
Pubblicazione: (2024)

Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization
di: Xu, Binyan, et al.
Pubblicazione: (2025)

Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
di: Harenčák, Damian, et al.
Pubblicazione: (2026)

Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget
di: Yang, Yi, et al.
Pubblicazione: (2026)

Smoothed Embeddings for Robust Language Models
di: Hase, Ryo, et al.
Pubblicazione: (2025)

DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection
di: Lim, Yewon, et al.
Pubblicazione: (2024)

Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
di: Shpilevskiy, Frederick, et al.
Pubblicazione: (2025)

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
di: Hussein, Noor, et al.
Pubblicazione: (2024)

Image steganography based on generative implicit neural representation
di: Yangjie, Zhong, et al.
Pubblicazione: (2024)

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
di: Xu, Jing, et al.
Pubblicazione: (2022)

Improving Adversarial Robustness via Feature Pattern Consistency Constraint
di: Hu, Jiacong, et al.
Pubblicazione: (2024)

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
di: Mahi, Ishrak Hamim, et al.
Pubblicazione: (2026)

Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation
di: Lu, Renhao
Pubblicazione: (2025)

Enhancing Small Object Detection with YOLO: A Novel Framework for Improved Accuracy and Efficiency
di: Moghadami, Mahila, et al.
Pubblicazione: (2025)

Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
di: Heinert, Edgar, et al.
Pubblicazione: (2024)

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
di: Zhou, Yuxuan, et al.
Pubblicazione: (2025)

CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack
di: Li, Zhan, et al.
Pubblicazione: (2025)

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
di: Deng, Jieren, et al.
Pubblicazione: (2024)

MedAD-R1: Eliciting Consistent Reasoning in Interpretible Medical Anomaly Detection via Consistency-Reinforced Policy Optimization
di: Zhang, Haitao, et al.
Pubblicazione: (2026)

Revocable Backdoor for Deep Model Trading
di: Xu, Yiran, et al.
Pubblicazione: (2024)

3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
di: Huang, Yuanmin, et al.
Pubblicazione: (2025)

TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model
di: Zhao, Yihao, et al.
Pubblicazione: (2024)

Accuracy Limits as a Barrier to Biometric System Security
di: Durbet, Axel, et al.
Pubblicazione: (2024)

PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
di: Xiang, Chong, et al.
Pubblicazione: (2023)

AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
di: Bai, Jianfa, et al.
Pubblicazione: (2024)

Automated User Identification from Facial Thermograms with Siamese Networks
di: Prozorova, Elizaveta, et al.
Pubblicazione: (2025)

Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
di: Wang, Tianyi, et al.
Pubblicazione: (2024)

Robust Provably Secure Image Steganography via Latent Iterative Optimization
di: Li, Yanan, et al.
Pubblicazione: (2026)

Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
di: Ren, Yuchen, et al.
Pubblicazione: (2025)

Interactive Image Selection and Training for Brain Tumor Segmentation Network
di: Cerqueira, Matheus A., et al.
Pubblicazione: (2024)

Performance Decay in Deepfake Detection: The Limitations of Training on Outdated Data
di: Richings, Jack, et al.
Pubblicazione: (2025)

A Hybrid Deep Learning and Anomaly Detection Framework for Real-Time Malicious URL Classification
di: Khaled, Berkani, et al.
Pubblicazione: (2025)

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
di: Jacob, Dennis, et al.
Pubblicazione: (2025)

Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
di: Buyukcakir, Barkin, et al.
Pubblicazione: (2025)

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
di: Jang, Suhyeok, et al.
Pubblicazione: (2024)

Robust and Large-Payload DNN Watermarking via Fixed, Distribution-Optimized, Weights
di: Tondi, Benedetta, et al.
Pubblicazione: (2022)

Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks
di: Zimmer, Pascal, et al.
Pubblicazione: (2023)

Improve Vision Language Model Chain-of-thought Reasoning
di: Zhang, Ruohong, et al.
Pubblicazione: (2024)