Adversarial Robustness

Adversarial Robustness evaluates the vulnerabilities of machine learning models under various types of adversarial attacks.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 176–200 of 1746 papers

Title	Date	Tasks	Status	Hype
Adversarial Attacks on Hyperbolic Networks	Dec 2, 2024	Adversarial Robustness	—Unverified	0
Adversarial Prompt Distillation for Vision-Language Models	Nov 22, 2024	Adversarial RobustnessAutonomous Driving	—Unverified	0
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles	Nov 21, 2024	Adversarial RobustnessAutonomous Driving	—Unverified	0
WARLearn: Weather-Adaptive Representation Learning	Nov 21, 2024	2D Object DetectionAdversarial Robustness	CodeCode Available	0
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks	Nov 20, 2024	Adversarial Robustnessimage-classification	CodeCode Available	0
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models	Nov 20, 2024	Adversarial Robustness	—Unverified	0
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods	Nov 18, 2024	Adversarial RobustnessImage Compression	—Unverified	0
Edge-Only Universal Adversarial Attacks in Distributed Learning	Nov 15, 2024	Adversarial Robustness	—Unverified	0
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time	Nov 15, 2024	Adversarial RobustnessClustering	—Unverified	0
BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation	Nov 14, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	0
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness	Nov 13, 2024	Adversarial RobustnessDenoising	CodeCode Available	0
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization	Nov 12, 2024	Adversarial RobustnessDeepFake Detection	CodeCode Available	0
Rapid Response: Mitigating LLM Jailbreaks with a Few Examples	Nov 12, 2024	Adversarial Robustness	—Unverified	0
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems	Nov 9, 2024	Adversarial Robustnessimage-classification	—Unverified	0
Adversarial Robustness of In-Context Learning in Transformers for Linear Regression	Nov 7, 2024	Adversarial RobustnessIn-Context Learning	—Unverified	0
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging	Nov 7, 2024	Adversarial RobustnessConformal Prediction	—Unverified	0
Neural Fingerprints for Adversarial Attack Detection	Nov 7, 2024	Adversarial AttackAdversarial Attack Detection	CodeCode Available	0
A Fundamental Accuracy--Robustness Trade-off in Regression and Classification	Nov 6, 2024	Adversarial Robustnessregression	—Unverified	0
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training	Nov 5, 2024	Adversarial RobustnessDiversity	—Unverified	0
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination	Oct 31, 2024	Adversarial RobustnessBinarization	CodeCode Available	0
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training	Oct 30, 2024	Adversarial RobustnessFairness	—Unverified	0
CausAdv: A Causal-based Framework for Detecting Adversarial Examples	Oct 29, 2024	Adversarial Robustnesscounterfactual	CodeCode Available	0
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models	Oct 29, 2024	Adversarial RobustnessAll	CodeCode Available	1
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions	Oct 26, 2024	Abstractive Text SummarizationAdversarial Robustness	—Unverified	0
Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness	Oct 24, 2024	Adversarial RobustnessModel Selection	—Unverified	0

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All datasets AdvGLUE CIFAR-10 ImageNet ImageNet-A ImageNet-C Stylized ImageNet CIFAR-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DeBERTa (single model)	Accuracy	0.61	—	Unverified
2	ALBERT (single model)	Accuracy	0.59	—	Unverified
3	T5 (single model)	Accuracy	0.57	—	Unverified
4	SMART_RoBERTa (single model)	Accuracy	0.54	—	Unverified
5	FreeLB (single model)	Accuracy	0.5	—	Unverified
6	RoBERTa (single model)	Accuracy	0.5	—	Unverified
7	InfoBERT (single model)	Accuracy	0.46	—	Unverified
8	ELECTRA (single model)	Accuracy	0.42	—	Unverified
9	BERT (single model)	Accuracy	0.34	—	Unverified
10	SMART_BERT (single model)	Accuracy	0.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mixed classifier	Accuracy	95.23	—	Unverified
2	Stochastic-LWTA/PGD/WideResNet-34-10	Accuracy	92.26	—	Unverified
3	Stochastic-LWTA/PGD/WideResNet-34-5	Accuracy	91.88	—	Unverified
4	GLOT-DR	Accuracy	84.13	—	Unverified
5	TRADES-ANCRA/ResNet18	Accuracy	81.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50 (SGD, Cosine)	Accuracy	77.4	—	Unverified
2	ResNet-50 (SGD, Step)	Accuracy	76.9	—	Unverified
3	DeiT-S (AdamW, Cosine)	Accuracy	76.8	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	76.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeiT-S (AdamW, Cosine)	Accuracy	12.2	—	Unverified
2	ResNet-50 (SGD, Cosine)	Accuracy	3.3	—	Unverified
3	ResNet-50 (SGD, Step)	Accuracy	3.2	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	3.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50 (AdamW, Cosine)	mean Corruption Error (mCE)	59.3	—	Unverified
2	ResNet-50 (SGD, Step)	mean Corruption Error (mCE)	57.9	—	Unverified
3	ResNet-50 (SGD, Cosine)	mean Corruption Error (mCE)	56.9	—	Unverified
4	DeiT-S (AdamW, Cosine)	mean Corruption Error (mCE)	48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeiT-S (AdamW, Cosine)	Accuracy	13	—	Unverified
2	ResNet-50 (SGD, Cosine)	Accuracy	8.4	—	Unverified
3	ResNet-50 (SGD, Step)	Accuracy	8.3	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	8.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mixed Classifier	Clean Accuracy	85.21	—	Unverified
2	ResNet18/MART-ANCRA	Clean Accuracy	60.1	—	Unverified