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FreeLB: Enhanced Adversarial Training for Natural Language Understanding

FreeLB: Enhanced Adversarial Training for Natural Language Understanding

25 September 2019
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
    AAML
ArXivPDFHTML

Papers citing "FreeLB: Enhanced Adversarial Training for Natural Language Understanding"

50 / 99 papers shown
Title
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
Mihyeon Kim
Juhyoung Park
Youngbin Kim
34
0
0
11 May 2025
Confidence Elicitation: A New Attack Vector for Large Language Models
Confidence Elicitation: A New Attack Vector for Large Language Models
Brian Formento
Chuan-Sheng Foo
See-Kiong Ng
AAML
99
0
0
07 Feb 2025
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection
  in Language Models
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
Minki Kang
Sung Ju Hwang
Gibbeum Lee
Jaewoong Cho
KELM
43
0
0
01 Nov 2024
Robust LLM safeguarding via refusal feature adversarial training
Robust LLM safeguarding via refusal feature adversarial training
L. Yu
Virginie Do
Karen Hambardzumyan
Nicola Cancedda
AAML
62
10
0
30 Sep 2024
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
Gentiana Rashiti
G. Karunaratne
Mrinmaya Sachan
Abu Sebastian
Abbas Rahimi
RALM
39
0
0
12 Sep 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance
CERT-ED: Certifiably Robust Text Classification for Edit Distance
Zhuoqun Huang
Yipeng Wang
Seunghee Shin
Benjamin I. P. Rubinstein
AAML
48
1
0
01 Aug 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for
  Practical Adversarial Training
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training
Enes Altinisik
Safa Messaoud
H. Sencar
Hassan Sajjad
Sanjay Chawla
AAML
48
0
0
27 May 2024
Advancing the Robustness of Large Language Models through Self-Denoised
  Smoothing
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
Jiabao Ji
Bairu Hou
Zhen Zhang
Guanhua Zhang
Wenqi Fan
Qing Li
Yang Zhang
Gaowen Liu
Sijia Liu
Shiyu Chang
AAML
40
5
0
18 Apr 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
37
0
0
31 Mar 2024
Instruction-Driven Game Engines on Large Language Models
Instruction-Driven Game Engines on Large Language Models
Hongqiu Wu
Xing-Chen Liu
Haizhen Zhao
Min Zhang
34
1
0
30 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
37
5
0
11 Mar 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn
David Dobre
Sophie Xhonneux
Gauthier Gidel
Stephan Gunnemann
AAML
51
38
0
14 Feb 2024
Adversarial Text Purification: A Large Language Model Approach for
  Defense
Adversarial Text Purification: A Large Language Model Approach for Defense
Raha Moraffah
Shubh Khandelwal
Amrita Bhattacharjee
Huan Liu
DeLMO
AAML
36
5
0
05 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
34
78
0
25 Jan 2024
Adversarial Training for Physics-Informed Neural Networks
Adversarial Training for Physics-Informed Neural Networks
Yao Li
Shengzhu Shi
Zhichang Guo
Boying Wu
AAML
PINN
25
0
0
18 Oct 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial
  Attack
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
HaiXiang Zhu
Zhaoqing Yang
Weiwei Shang
Yuren Wu
AAML
FAtt
10
3
0
01 Aug 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
39
73
0
07 Jun 2023
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
Kai Mei
Zheng Li
Zhenting Wang
Yang Zhang
Shiqing Ma
AAML
SILM
37
48
0
28 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
37
2
0
23 May 2023
Attack Named Entity Recognition by Entity Boundary Interference
Attack Named Entity Recognition by Entity Boundary Interference
Yifei Yang
Hongqiu Wu
Hai Zhao
AAML
24
5
0
09 May 2023
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
Dhaval Taunk
Lakshya Khanna
Pavan Kandru
Vasudeva Varma
Charu Sharma
Makarand Tapaswi
11
22
0
22 Mar 2023
HateProof: Are Hateful Meme Detection Systems really Robust?
HateProof: Are Hateful Meme Detection Systems really Robust?
Piush Aggarwal
Pranit Chawla
Mithun Das
Punyajoy Saha
Binny Mathew
Torsten Zesch
Animesh Mukherjee
AAML
34
8
0
11 Feb 2023
ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for
  E-Commerce Product Search
ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search
Xuange Cui
Wei Xiong
Songlin Wang
35
1
0
31 Jan 2023
A Stability Analysis of Fine-Tuning a Pre-Trained Model
A Stability Analysis of Fine-Tuning a Pre-Trained Model
Z. Fu
Anthony Man-Cho So
Nigel Collier
23
3
0
24 Jan 2023
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
44
136
0
01 Dec 2022
Robust Lottery Tickets for Pre-trained Language Models
Robust Lottery Tickets for Pre-trained Language Models
Rui Zheng
Rong Bao
Yuhao Zhou
Di Liang
Sirui Wang
Wei Yu Wu
Tao Gui
Qi Zhang
Xuanjing Huang
AAML
16
13
0
06 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial
  Examples
Textual Manifold-based Defense Against Natural Language Adversarial Examples
D. M. Nguyen
Anh Tuan Luu
AAML
19
17
0
05 Nov 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and
  Model Uncertainty Estimation
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
67
4
0
22 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and
  Informative Text Generation
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Sujian Li
Yajuan Lyu
36
3
0
22 Oct 2022
TCAB: A Large-Scale Text Classification Attack Benchmark
TCAB: A Large-Scale Text Classification Attack Benchmark
Kalyani Asthana
Zhouhang Xie
Wencong You
Adam Noack
Jonathan Brophy
Sameer Singh
Daniel Lowd
39
3
0
21 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the
  Research Paradigm in Adversarial NLP
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Fanchao Qi
Longtao Huang
Zhiyuan Liu
Maosong Sun
SILM
14
45
0
19 Oct 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Lan Jiang
Hao Zhou
Yankai Lin
Peng Li
Jie Zhou
R. Jiang
AAML
37
8
0
18 Oct 2022
SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum
  Cocoercive Variational Inequalities
SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities
Aleksandr Beznosikov
Alexander Gasnikov
34
2
0
12 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Xu Guo
Boyang Albert Li
Han Yu
VLM
39
22
0
06 Oct 2022
To Answer or Not to Answer? Improving Machine Reading Comprehension
  Model with Span-based Contrastive Learning
To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
Yunjie Ji
Liangyu Chen
Chenxiao Dou
Baochang Ma
Xiangang Li
43
5
0
02 Aug 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE
Adversarial Contrastive Learning via Asymmetric InfoNCE
Qiying Yu
Jieming Lou
Xianyuan Zhan
Qizhang Li
W. Zuo
Yang Liu
Jingjing Liu
AAML
30
23
0
18 Jul 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Quanyu Long
Tianze Luo
Wenya Wang
Sinno Jialin Pan
57
8
0
10 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level
  Physically-Grounded Augmentations
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zhangyang Wang
36
55
0
04 Jul 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
36
24
0
12 May 2022
Don't sweat the small stuff, classify the rest: Sample Shielding to
  protect text classifiers against adversarial attacks
Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks
Jonathan Rusert
P. Srinivasan
AAML
19
3
0
03 May 2022
Embedding Hallucination for Few-Shot Language Fine-tuning
Embedding Hallucination for Few-Shot Language Fine-tuning
Yiren Jian
Chongyang Gao
Soroush Vosoughi
23
4
0
03 May 2022
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge
  Distillation
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation
Md. Akmal Haidar
Mehdi Rezagholizadeh
Abbas Ghaddar
Khalil Bibi
Philippe Langlais
Pascal Poupart
CLL
30
6
0
15 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
Wei Liu
ViT
16
90
0
03 Apr 2022
Improving Health Mentioning Classification of Tweets using Contrastive
  Adversarial Training
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Pervaiz Iqbal Khan
Shoaib Ahmed Siddiqui
Imran Razzak
Andreas Dengel
Sheraz Ahmed
13
3
0
03 Mar 2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text
  Classification Tasks
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Xing Wu
Chaochen Gao
Meng Lin
Liangjun Zang
Zhongyuan Wang
Songlin Hu
14
25
0
28 Feb 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
D. Kovalev
Aleksandr Beznosikov
Abdurakhmon Sadiev
Michael Persiianov
Peter Richtárik
Alexander Gasnikov
35
34
0
06 Feb 2022
Identifying Adversarial Attacks on Text Classifiers
Identifying Adversarial Attacks on Text Classifiers
Zhouhang Xie
Jonathan Brophy
Adam Noack
Wencong You
Kalyani Asthana
Carter Perkins
Sabrina Reis
Sameer Singh
Daniel Lowd
AAML
27
9
0
21 Jan 2022
ActKnow: Active External Knowledge Infusion Learning for Question
  Answering in Low Data Regime
ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime
K. Annervaz
Pritam Kumar Nath
Ambedkar Dukkipati
RALM
12
1
0
17 Dec 2021
Sharpness-Aware Minimization with Dynamic Reweighting
Sharpness-Aware Minimization with Dynamic Reweighting
Wenxuan Zhou
Fangyu Liu
Huan Zhang
Muhao Chen
AAML
19
8
0
16 Dec 2021
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for
  Commonsense Question Answering
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
Yueqing Sun
Qi Shi
Le Qi
Yu Zhang
RALM
LRM
15
69
0
06 Dec 2021
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