The Japan Times - Tech firms fight to stem deepfake deluge

EUR -
AED 4.314393
AFN 76.939193
ALL 96.39895
AMD 448.403333
ANG 2.103039
AOA 1077.124807
ARS 1689.430346
AUD 1.769643
AWG 2.117249
AZN 2.00152
BAM 1.954765
BBD 2.365048
BDT 143.504005
BGN 1.955623
BHD 0.442814
BIF 3483.916871
BMD 1.174618
BND 1.513898
BOB 8.143687
BRL 6.361611
BSD 1.174278
BTN 106.500601
BWP 15.508655
BYN 3.434081
BYR 23022.512028
BZD 2.361649
CAD 1.618582
CDF 2642.890545
CHF 0.935994
CLF 0.027368
CLP 1073.63589
CNY 8.277826
CNH 8.273762
COP 4491.77432
CRC 587.388938
CUC 1.174618
CUP 31.127376
CVE 110.651685
CZK 24.329154
DJF 208.752807
DKK 7.46998
DOP 74.412456
DZD 152.31039
EGP 55.710722
ERN 17.619269
ETB 182.764114
FJD 2.648
FKP 0.878906
GBP 0.878479
GEL 3.180687
GGP 0.878906
GHS 13.513925
GIP 0.878906
GMD 86.310048
GNF 10207.430237
GTQ 8.995236
GYD 245.671992
HKD 9.141259
HNL 30.93062
HRK 7.532001
HTG 153.858522
HUF 384.26099
IDR 19576.182932
ILS 3.773871
IMP 0.878906
INR 106.563514
IQD 1538.285374
IRR 49463.162696
ISK 148.201747
JEP 0.878906
JMD 187.660621
JOD 0.832783
JPY 182.410538
KES 151.42007
KGS 102.720408
KHR 4703.169944
KMF 493.339674
KPW 1057.155797
KRW 1725.9952
KWD 0.36042
KYD 0.978573
KZT 605.659263
LAK 25445.524879
LBP 105155.513068
LKR 363.087721
LRD 207.260242
LSL 19.701966
LTL 3.468342
LVL 0.710515
LYD 6.365629
MAD 10.778492
MDL 19.821335
MGA 5234.228123
MKD 61.541226
MMK 2465.835411
MNT 4165.037041
MOP 9.413295
MRU 46.711263
MUR 53.973669
MVR 18.089955
MWK 2036.221683
MXN 21.133222
MYR 4.807126
MZN 75.051531
NAD 19.701966
NGN 1705.932508
NIO 43.217114
NOK 11.934183
NPR 170.400761
NZD 2.029041
OMR 0.451648
PAB 1.174278
PEN 3.954306
PGK 4.990357
PHP 69.126548
PKR 329.087926
PLN 4.216238
PYG 7886.823395
QAR 4.279734
RON 5.091612
RSD 117.371285
RUB 93.383315
RWF 1709.709149
SAR 4.40741
SBD 9.604559
SCR 16.481849
SDG 706.530872
SEK 10.91862
SGD 1.515305
SHP 0.881268
SLE 28.337634
SLL 24631.155629
SOS 669.945219
SRD 45.351848
STD 24312.220241
STN 24.487032
SVC 10.274559
SYP 12987.377059
SZL 19.705565
THB 37.013971
TJS 10.797474
TMT 4.122909
TND 3.434181
TOP 2.828199
TRY 50.158656
TTD 7.969779
TWD 36.804069
TZS 2915.992834
UAH 49.634415
UGX 4182.784933
USD 1.174618
UYU 46.015632
UZS 14206.476713
VES 314.139533
VND 30915.944723
VUV 142.278694
WST 3.260132
XAF 655.60981
XAG 0.018504
XAU 0.000273
XCD 3.174464
XCG 2.116279
XDR 0.816821
XOF 655.60981
XPF 119.331742
YER 280.135575
ZAR 19.731984
ZMK 10572.956485
ZMW 27.213589
ZWL 378.226504
  • SCS

    0.0200

    16.14

    +0.12%

  • RBGPF

    -3.4900

    77.68

    -4.49%

  • RYCEF

    0.3000

    14.9

    +2.01%

  • CMSC

    -0.0150

    23.285

    -0.06%

  • CMSD

    0.0800

    23.33

    +0.34%

  • NGG

    0.7800

    75.71

    +1.03%

  • GSK

    0.3650

    49.175

    +0.74%

  • AZN

    1.2400

    91.07

    +1.36%

  • RIO

    -0.1250

    75.535

    -0.17%

  • BCC

    -0.9250

    75.585

    -1.22%

  • BCE

    0.3361

    23.73

    +1.42%

  • RELX

    0.5850

    40.965

    +1.43%

  • BTI

    0.3100

    57.41

    +0.54%

  • JRI

    -0.0015

    13.565

    -0.01%

  • BP

    -0.1700

    35.09

    -0.48%

  • VOD

    0.1360

    12.726

    +1.07%

Tech firms fight to stem deepfake deluge
Tech firms fight to stem deepfake deluge / Photo: Anthony WALLACE - AFP

Tech firms fight to stem deepfake deluge

Tech firms are fighting the scourge of deepfakes, those deceptively realistic voices or videos used by scammers that are more available than ever thanks to artificial intelligence.

Text size:

Ever-improving generative artificial intelligence (GenAI) tools have become weapons in the hands of bad actors intent on tricking people out of their money or even their identities.

Debby Bodkin tells of her 93-year-old mother receiving a telephone call, a cloned voice claiming, "It's me, mom... I've had an accident."

When asked where they were, the machine-made impersonator named a hospital.

Fortunately, it was a granddaughter who answered the phone, opting to hang up and call Bodkin at work where she was safe and well.

"It's not the first time scammers have called grandma," Bodkin told AFP. "It's daily."

Such deepfake phone scams typically go on to coax victims into paying for medical care or other made-up emergencies.

Used on social networks to hijack the notoriety of celebrities or other high-profile figures, sometimes for disinformation, deepfakes are also being exploited by criminal gangs.

Hong Kong police earlier this year revealed that a multinational firm employee was tricked into wiring HK$200 million (around US$26 million) to crooks who staged a videoconference with AI avatars of his colleagues.

A recent study by identification start-up iBoom found that a scant tenth of one percent of Americans and Britons were able to correctly tell when a picture or video was a deepfake.

A decade ago, there was a single AI tool for generating synthetic voices -- now there are hundreds of them, according to voice authentication specialist Vijay Balasubramaniyan, CEO of Pindrop Security.

GenAI has changed the game, he said.

"Before, it took 20 hours (of voice recording) to recreate your voice," the executive told AFP.

"Now, it's five seconds."

Firms such as Intel have stepped up with tools to detect GenAI-made audio or video in real-time.

Intel "FakeCatcher" detects color changes in facial blood vessels to distinguish genuine from bogus imagery.

Pindrop breaks down every second of audio and compares it with characteristics of a human voice.

"You have to keep up with the times," says Nicos Vekiarides, chief of Attestiv platform which specializes in authenticating digital creations.

"In the beginning, we saw people with six fingers on one hand, but progress has made it harder and harder to tell (deepfakes) with the naked eye."

- 'Global cybersecurity threat' -

Balasubramaniyan believes that software for spotting AI content will become standard at companies of all kinds.

While GenAI has blurred the boundary between human and machine, companies that re-establish that divide could soar in a market that will be worth billions of dollars, he said.

Vekiarides warned that the issue "is becoming a global cybersecurity threat."

"Any company can have its reputation tarnished by a deepfake or be targeted by these sophisticated attacks," Vekiarides said.

Balasubramaniyan added that the shift to telework provides more opportunity for bad actors to impersonate their way into companies.

Beyond the corporate world, many expect consumers to look for ways to fight off deepfake scams endangering their personal lives.

In January, China-based Honor unveiled a Magic7 smartphone with a built-in deepfake detector powered by AI.

British start-up Surf Security late last year launched a web browser that can flag synthetic voice or video, aiming it at businesses.

Siwei Lyu, a professor of computer science at the State University of New York at Buffalo, believes "deepfakes will become like spam," an internet nightmare that people eventually get under control.

"Those detection algorithms will be like spam filters in our email software," Lyu predicted.

"We're not there yet."

T.Sasaki--JT