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Defending Against Neural Fake News

Defending Against Neural Fake News

29 May 2019
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
    AAML
ArXivPDFHTML

Papers citing "Defending Against Neural Fake News"

50 / 562 papers shown
Title
Detecting Machine-Generated Texts by Multi-Population Aware Optimization
  for Maximum Mean Discrepancy
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
Shuhai Zhang
Yiliao Song
Jiahao Yang
Yuanqing Li
Bo Han
Mingkui Tan
DeLMO
37
5
0
25 Feb 2024
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural
  Language Generations
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations
Samraj Moorjani
A. Krishnan
Hari Sundaram
KELM
32
1
0
22 Feb 2024
On Leveraging Encoder-only Pre-trained Language Models for Effective
  Keyphrase Generation
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation
Di Wu
Wasi Uddin Ahmad
Kai-Wei Chang
29
3
0
21 Feb 2024
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
Haisong Gong
Weizhi Xu
Shu Wu
Qiang Liu
Liang Wang
26
4
0
20 Feb 2024
GumbelSoft: Diversified Language Model Watermarking via the
  GumbelMax-trick
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick
Jiayi Fu
Xuandong Zhao
Ruihan Yang
Yuan Zhang
Jiangjie Chen
Yanghua Xiao
WaLM
46
7
0
20 Feb 2024
Amplifying Training Data Exposure through Fine-Tuning with
  Pseudo-Labeled Memberships
Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships
Myung Gyo Oh
Hong Eun Ahn
L. Park
T.-H. Kwon
MIALM
AAML
34
0
0
19 Feb 2024
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to
  Detect Machine-Generated Text?
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?
Shubhashis Roy Dipta
Sadat Shahriar
DeLMO
54
1
0
19 Feb 2024
Machine-Generated Text Localization
Machine-Generated Text Localization
Zhongping Zhang
Wenda Qin
Bryan A. Plummer
DeLMO
36
5
0
19 Feb 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated
  Text Detectors Under Attacks
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
Yichen Wang
Shangbin Feng
Abe Bohan Hou
Xiao Pu
Chao Shen
Xiaoming Liu
Yulia Tsvetkov
Tianxing He
DeLMO
48
17
0
18 Feb 2024
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text
  Detection
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
Yuxia Wang
Jonibek Mansurov
Petar Ivanov
Jinyan Su
Artem Shelmanov
...
Thomas Arnold
Alham Fikri Aji
Nizar Habash
Iryna Gurevych
Preslav Nakov
DeLMO
28
31
0
17 Feb 2024
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse
  Motifs
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs
Zae Myung Kim
Kwang Hee Lee
Preston Zhu
Vipul Raheja
Dongyeop Kang
DeLMO
40
8
0
16 Feb 2024
DELL: Generating Reactions and Explanations for LLM-Based Misinformation
  Detection
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
Herun Wan
Shangbin Feng
Zhaoxuan Tan
Heng Wang
Yulia Tsvetkov
Minnan Luo
72
29
0
16 Feb 2024
Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
Zhichen Dong
Zhanhui Zhou
Chao Yang
Jing Shao
Yu Qiao
ELM
52
55
0
14 Feb 2024
Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect
  Disinformation Claims at Scale
Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale
Freddy Heppell
M. Bakir
Kalina Bontcheva
DeLMO
33
1
0
13 Feb 2024
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned
  Language Models
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Siddharth Karamcheti
Suraj Nair
Ashwin Balakrishna
Percy Liang
Thomas Kollar
Dorsa Sadigh
MLLM
VLM
57
98
0
12 Feb 2024
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Xuandong Zhao
Lei Li
Yu-Xiang Wang
55
12
0
08 Feb 2024
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated
  Student Essay Detection
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
Xinlin Peng
Ying Zhou
Xianpei Han
Le Sun
Yingfei Sun
DeLMO
18
11
0
01 Feb 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective
  Perturbation to Fine-tuned Contrastive Learning Detector would be Better
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
Shengchao Liu
Xiaoming Liu
Yichen Wang
Zehua Cheng
Chengzhengxu Li
Zhaohan Zhang
Y. Lan
Chao Shen
DeLMO
34
2
0
01 Feb 2024
Image-Text Out-Of-Context Detection Using Synthetic Multimodal
  Misinformation
Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation
Fatma Shalabi
H. Nguyen
Hichem Felouat
Ching-Chun Chang
Isao Echizen
40
5
0
29 Jan 2024
Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection
Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection
Veronika Solopova
Viktoriia Herman
Christoph Benzmüller
Tim Landgraf
24
1
0
28 Jan 2024
Style-News: Incorporating Stylized News Generation and Adversarial
  Verification for Neural Fake News Detection
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
Wei-Yao Wang
Yu-Chieh Chang
Wenjie Peng
22
0
0
27 Jan 2024
Fine-tuning Large Language Models for Multigenerator, Multidomain, and
  Multilingual Machine-Generated Text Detection
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
Feng Xiong
Thanet Markchom
Ziwei Zheng
Subin Jung
Varun Ojha
Huizhi Liang
DeLMO
29
4
0
22 Jan 2024
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated
  Text
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans
Avi Schwarzschild
Valeriia Cherepanova
Hamid Kazemi
Aniruddha Saha
Micah Goldblum
Jonas Geiping
Tom Goldstein
DeLMO
44
83
0
22 Jan 2024
Detecting Multimedia Generated by Large AI Models: A Survey
Detecting Multimedia Generated by Large AI Models: A Survey
Li Lin
Neeraj Gupta
Yue Zhang
Hainan Ren
Chun-Hao Liu
Feng Ding
Xin Wang
Xin Li
Luisa Verdoliva
Shu Hu
88
57
0
22 Jan 2024
Deciphering Textual Authenticity: A Generalized Strategy through the
  Lens of Large Language Semantics for Detecting Human vs. Machine-Generated
  Text
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text
Mazal Bethany
Brandon Wherry
Emet Bethany
Nishant Vishwamitra
Anthony Rios
Peyman Najafirad
DeLMO
36
3
0
17 Jan 2024
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Dominik Macko
Robert Moro
Adaku Uchendu
Ivan Srba
Jason Samuel Lucas
Michiharu Yamashita
Nafis Irtiza Tripto
Dongwon Lee
Jakub Simko
M. Bieliková
DeLMO
40
17
0
15 Jan 2024
Few-Shot Detection of Machine-Generated Text using Style Representations
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael A. Rivera Soto
Kailin Koch
Aleem Khan
Barry Chen
M. Bishop
Nicholas Andrews
DeLMO
24
23
0
12 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language
  Model Systems
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui
Yanling Wang
Chuanpu Fu
Yong Xiao
Sijia Li
...
Junwu Xiong
Xinyu Kong
Zujie Wen
Ke Xu
Qi Li
57
56
0
11 Jan 2024
TextMachina: Seamless Generation of Machine-Generated Text Datasets
TextMachina: Seamless Generation of Machine-Generated Text Datasets
A. Sarvazyan
José Ángel González
Marc Franco-Salvador
DeLMO
60
3
0
08 Jan 2024
Understanding LLMs: A Comprehensive Overview from Training to Inference
Understanding LLMs: A Comprehensive Overview from Training to Inference
Yi-Hsueh Liu
Haoyang He
Tianle Han
Xu-Yao Zhang
Mengyuan Liu
...
Xintao Hu
Tuo Zhang
Ning Qiang
Tianming Liu
Bao Ge
SyDa
35
65
0
04 Jan 2024
Understanding News Creation Intents: Frame, Dataset, and Method
Understanding News Creation Intents: Frame, Dataset, and Method
Zhengjia Wang
Danding Wang
Qiang Sheng
Juan Cao
Silong Su
Yifan Sun
Beizhe Hu
Siyuan Ma
23
4
0
27 Dec 2023
On the Learnability of Watermarks for Language Models
On the Learnability of Watermarks for Language Models
Chenchen Gu
Xiang Lisa Li
Percy Liang
Tatsunori Hashimoto
WaLM
69
31
0
07 Dec 2023
STADEE: STAtistics-based DEEp Detection of Machine Generated Text
STADEE: STAtistics-based DEEp Detection of Machine Generated Text
Zheng Chen
Huming Liu
DeLMO
16
4
0
04 Dec 2023
Mark My Words: Analyzing and Evaluating Language Model Watermarks
Mark My Words: Analyzing and Evaluating Language Model Watermarks
Julien Piet
Chawin Sitawarin
Vivian Fang
Norman Mu
David A. Wagner
WaLM
37
33
0
01 Dec 2023
I Know You Did Not Write That! A Sampling Based Watermarking Method for
  Identifying Machine Generated Text
I Know You Did Not Write That! A Sampling Based Watermarking Method for Identifying Machine Generated Text
Kaan Efe Keles
Ömer Kaan Gürbüz
Mucahid Kutlu
WaLM
16
1
0
29 Nov 2023
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image
  Generation
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
Yuhui Zhang
Brandon McKinzie
Zhe Gan
Vaishaal Shankar
Alexander Toshev
31
3
0
27 Nov 2023
LongStory: Coherent, Complete and Length Controlled Long story Generation
LongStory: Coherent, Complete and Length Controlled Long story Generation
Kyeongman Park
Nakyeong Yang
Kyomin Jung
37
4
0
26 Nov 2023
IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
Michal Spiegel
Dominik Macko
DeLMO
VLM
37
5
0
21 Nov 2023
WatME: Towards Lossless Watermarking Through Lexical Redundancy
WatME: Towards Lossless Watermarking Through Lexical Redundancy
Liang Chen
Yatao Bian
Yang Deng
Deng Cai
Shuaiyi Li
Peilin Zhao
Kam-Fai Wong
WaLM
40
6
0
16 Nov 2023
Disinformation Capabilities of Large Language Models
Disinformation Capabilities of Large Language Models
Ivan Vykopal
Matúvs Pikuliak
Ivan Srba
Robert Moro
Dominik Macko
M. Bieliková
22
8
0
15 Nov 2023
Token Prediction as Implicit Classification to Identify LLM-Generated
  Text
Token Prediction as Implicit Classification to Identify LLM-Generated Text
Yutian Chen
Hao Kang
Vivian Zhai
Liangze Li
Rita Singh
Bhiksha Raj
DeLMO
11
23
0
15 Nov 2023
A Robust Semantics-based Watermark for Large Language Model against
  Paraphrasing
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
Jie Ren
Han Xu
Yiding Liu
Yingqian Cui
Shuaiqiang Wang
Dawei Yin
Jiliang Tang
OffRL
23
44
0
15 Nov 2023
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language
  Models Denoising
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising
Zhen Guo
Shangdi Yu
DeLMO
26
10
0
13 Nov 2023
DEMASQ: Unmasking the ChatGPT Wordsmith
DEMASQ: Unmasking the ChatGPT Wordsmith
Kavita Kumari
Alessandro Pegoraro
Hossein Fereidooni
Ahmad-Reza Sadeghi
DeLMO
19
4
0
08 Nov 2023
Watermarks in the Sand: Impossibility of Strong Watermarking for
  Generative Models
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Hanlin Zhang
Benjamin L. Edelman
Danilo Francati
Daniele Venturi
G. Ateniese
Boaz Barak
WaLM
138
54
0
07 Nov 2023
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic
  Representations
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
Sihao Chen
Hongming Zhang
Tong Chen
Ben Zhou
Wenhao Yu
Dian Yu
Baolin Peng
Hongwei Wang
Dan Roth
Dong Yu
SSL
23
13
0
07 Nov 2023
Identifying and Mitigating Vulnerabilities in LLM-Integrated
  Applications
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications
Fengqing Jiang
Zhangchen Xu
Luyao Niu
Wei Ping
Jinyuan Jia
Bo Li
Radha Poovendran
AAML
21
19
0
07 Nov 2023
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency
  for Video Deepfake Detection
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection
Sahibzada Adil Shahzad
Ammarah Hashmi
Yan-Tsung Peng
Yu Tsao
Hsin-Min Wang
26
5
0
05 Nov 2023
Adapting Fake News Detection to the Era of Large Language Models
Adapting Fake News Detection to the Era of Large Language Models
Jinyan Su
Claire Cardie
Preslav Nakov
DeLMO
40
18
0
02 Nov 2023
Little Giants: Exploring the Potential of Small LLMs as Evaluation
  Metrics in Summarization in the Eval4NLP 2023 Shared Task
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
Neema Kotonya
Saran Krishnasamy
Joel R. Tetreault
Alejandro Jaimes
21
9
0
01 Nov 2023
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