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 201–225 of 1746 papers

Title	Date	Tasks	Status	Hype
Conflict-Aware Adversarial Training	Oct 21, 2024	Adversarial Robustness	—Unverified	0
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models	Oct 19, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	0
Beyond Pruning Criteria: The Dominant Role of Fine-Tuning and Adaptive Ratios in Neural Network Robustness	Oct 19, 2024	Adversarial RobustnessSensitivity	—Unverified	0
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models	Oct 18, 2024	Adversarial RobustnessAutonomous Driving	—Unverified	0
Artificial Kuramoto Oscillatory Neurons	Oct 17, 2024	Adversarial RobustnessObject Discovery	CodeCode Available	2
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain	Oct 16, 2024	Adversarial Robustness	CodeCode Available	0
New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes	Oct 16, 2024	Adversarial Robustness	CodeCode Available	0
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks	Oct 14, 2024	Adversarial RobustnessBinary Classification	—Unverified	0
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors	Oct 14, 2024	Adversarial RobustnessObject	CodeCode Available	0
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation	Oct 10, 2024	Adversarial RobustnessCode Translation	—Unverified	0
Adversarial Robustness Overestimation and Instability in TRADES	Oct 10, 2024	Adversarial Robustness	—Unverified	0
Understanding Adversarially Robust Generalization via Weight-Curvature Index	Oct 10, 2024	Adversarial RobustnessGeneralization Bounds	—Unverified	0
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models	Oct 8, 2024	Adversarial RobustnessTransfer Learning	—Unverified	0
Give me a hint: Can LLMs take a hint to solve math problems?	Oct 8, 2024	Adversarial RobustnessMath	CodeCode Available	0
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense	Oct 7, 2024	Adversarial RobustnessBenchmarking	CodeCode Available	2
Knowledge-Augmented Reasoning for EUAIA Compliance and Adversarial Robustness of LLMs	Oct 4, 2024	Adversarial Robustness	—Unverified	0
Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs	Oct 4, 2024	Adversarial Robustness	—Unverified	0
Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs	Oct 4, 2024	Adversarial RobustnessManagement	—Unverified	0
A Brain-Inspired Regularizer for Adversarial Robustness	Oct 4, 2024	Adversarial Robustness	CodeCode Available	0
LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks	Oct 3, 2024	Adversarial RobustnessSafety Alignment	—Unverified	0
Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors	Oct 2, 2024	Adversarial RobustnessMisinformation	CodeCode Available	0
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning	Oct 2, 2024	Adversarial RobustnessRepresentation Learning	—Unverified	0
Nonideality-aware training makes memristive networks more robust to adversarial attacks	Sep 29, 2024	Adversarial Robustness	CodeCode Available	0
Improving Fast Adversarial Training via Self-Knowledge Guidance	Sep 26, 2024	Adversarial RobustnessAttribute	—Unverified	0
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training	Sep 23, 2024	Adversarial PurificationAdversarial Robustness	—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