Co-occurring keywords · papers mentioning both
Papers
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks
ICLR 2020
Enhancing Neural Models with Vulnerability via Adversarial Attack
COLING 2020
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models
Interspeech 2020
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier
ICLR 2020
Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks
CVPR 2020
Evaluation of Coreference Resolution Systems Under Adversarial Attacks
EMNLP 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights
ACL 2020
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
IJCAI 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates
AAAI 2020
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking
ICLR 2020
Fortifying Toxic Speech Detectors Against Veiled Toxicity
EMNLP 2020
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
AACL 2020
Generalization to Mitigate Synonym Substitution Attacks
EMNLP 2020
Generate (Non-Software) Bugs to Fool Classifiers
AAAI 2020
Generating Label Cohesive and Well-Formed Adversarial Claims
EMNLP 2020
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks
CVPR 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
NeurIPS 2020
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
JMLR 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
NeurIPS 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
NeurIPS 2020
Heuristic Black-Box Adversarial Attacks on Video Recognition Models
AAAI 2020
Hidden Trigger Backdoor Attacks
AAAI 2020
How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization
EMNLP 2020
ILFO: Adversarial Attack on Adaptive Neural Networks
CVPR 2020
Interpreting Predictions of NLP Models
EMNLP 2020