conftrace_

adversarial attack

1621 papers

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Also known as

AA

Co-occurring keywords

adversarial robustness (1341) adversarial example (564) black-box attack (237) large language model (13587) neural network (6616) adversarial learning (1595) adversarial defense (325) model robustness (480) adversarial training (1262) adversarial perturbation (384)

Papers

Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection ICCV 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise ICCV 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective AAAI 2021
Just One Moment: Structural Vulnerability of Deep Action Recognition Against One Frame Attack ICCV 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021
Evaluating Deception Detection Model Robustness To Linguistic Variation NAACL 2021
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021
Feature Importance-Aware Transferable Adversarial Attacks ICCV 2021
Towards Universal Physical Attacks on Single Object Tracking AAAI 2021
PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021
Enhanced Regularizers for Attributional Robustness AAAI 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021
BASAR:Black-Box Attack on Skeletal Action Recognition CVPR 2021
On the Transferability of Adversarial Attacks against Neural Text Classifier EMNLP 2021
Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021
Adversarial Turing Patterns from Cellular Automata AAAI 2021
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021
Characterizing the Evasion Attackability of Multi-label Classifiers AAAI 2021
Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack CVPR 2021
Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations EMNLP 2021