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On the Feasibility of Fully AI-automated Vishing Attacks
v1v2 (latest)

On the Feasibility of Fully AI-automated Vishing Attacks

20 September 2024
João Figueiredo
Afonso Carvalho
Daniel Castro
Daniel Gonçalves
Nuno Santos
ArXiv (abs)PDFHTML

Papers citing "On the Feasibility of Fully AI-automated Vishing Attacks"

13 / 13 papers shown
Title
An Improved Transformer-based Model for Detecting Phishing, Spam, and
  Ham: A Large Language Model Approach
An Improved Transformer-based Model for Detecting Phishing, Spam, and Ham: A Large Language Model Approach
Suhaima Jamal
H. Wimmer
79
20
0
01 Nov 2023
Survey of Vulnerabilities in Large Language Models Revealed by
  Adversarial Attacks
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Erfan Shayegani
Md Abdullah Al Mamun
Yu Fu
Pedram Zaree
Yue Dong
Nael B. Abu-Ghazaleh
AAML
229
163
0
16 Oct 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large
  Language Models in Federated Learning
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Weirui Kuang
Bingchen Qian
Zitao Li
Daoyuan Chen
Dawei Gao
Xuchen Pan
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
108
128
0
01 Sep 2023
From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?
From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?
Rodrigo Pedro
Daniel Castro
Paulo Carreira
Nuno Santos
SILMAAML
106
55
0
03 Aug 2023
Generative Agents: Interactive Simulacra of Human Behavior
Generative Agents: Interactive Simulacra of Human Behavior
J. Park
Joseph C. O'Brien
Carrie J. Cai
Meredith Ringel Morris
Percy Liang
Michael S. Bernstein
LM&RoAI4CE
407
1,975
0
07 Apr 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of
  Large Language Models
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Zhiqiang Hu
Lei Wang
Yihuai Lan
Wanyu Xu
Ee-Peng Lim
Lidong Bing
Xing Xu
Soujanya Poria
Roy Ka-wei Lee
ALM
114
272
0
04 Apr 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,472
0
27 Feb 2023
Not what you've signed up for: Compromising Real-World LLM-Integrated
  Applications with Indirect Prompt Injection
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Kai Greshake
Sahar Abdelnabi
Shailesh Mishra
C. Endres
Thorsten Holz
Mario Fritz
SILM
137
498
0
23 Feb 2023
Robust Speech Recognition via Large-Scale Weak Supervision
Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford
Jong Wook Kim
Tao Xu
Greg Brockman
C. McLeavey
Ilya Sutskever
OffRL
215
3,750
0
06 Dec 2022
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice
  Conversion for everyone
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Edresson Casanova
Julian Weber
C. Shulby
Arnaldo Cândido Júnior
Eren Golge
M. Ponti
234
415
0
04 Dec 2021
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Kaizhi Qian
Yang Zhang
Shiyu Chang
Xuesong Yang
M. Hasegawa-Johnson
87
468
0
14 May 2019
A Machine Learning Approach To Prevent Malicious Calls Over Telephony
  Networks
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Huichen Li
Xiaojun Xu
Chang-rui Liu
Teng Ren
Kun Wu
Xuezhi Cao
Weinan Zhang
Yong Yu
Basel Alomair
AAML
18
43
0
07 Apr 2018
Generalized End-to-End Loss for Speaker Verification
Generalized End-to-End Loss for Speaker Verification
Li Wan
Quan Wang
Alan Papir
Ignacio López Moreno
VLM
84
933
0
28 Oct 2017
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