Co-occurring keywords · papers mentioning both
Papers
Exploring Geometry of Blind Spots in Vision models
NeurIPS 2023
Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks
AAAI 2023
Exploring Practical Vulnerabilities of Machine Learning-based Wireless Systems
NSDI 2023
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
JMLR 2023
Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network
NeurIPS 2023
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
Interspeech 2023
Feature Separation and Recalibration for Adversarial Robustness
CVPR 2023
F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives
ICCV 2023
Fooling SHAP with Stealthily Biased Sampling
ICLR 2023
Fooling Speaker Identification Systems with Adversarial Background Music
Interspeech 2023
Fraud’s Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract)
AAAI 2023
Frequency-aware GAN for Adversarial Manipulation Generation
ICCV 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Generalization Bounds for Adversarial Contrastive Learning
JMLR 2023
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos
AAAI 2023
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
EMNLP 2023
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
ICCV 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
NeurIPS 2023
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
EMNLP 2023
Hijacking Robot Teams Through Adversarial Communication
CoRL 2023
Holistic Adversarial Robustness of Deep Learning Models
AAAI 2023
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
AAAI 2023
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks
ACL 2023
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
ICML 2023
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts
EMNLP 2023